MARCH 16 – 19, 2014 Baltimore Marriott Waterfront Hotel Baltimore, Maryland

with IMS and Sections of ASA Program

PROGRAM 1

ENAR 2014 SPRING MEETING MARCH 16 – 19, 2014

Welcome and Overview 4–5

Acknowledgements 6–9

Special Thanks 10

Baltimore, Maryland Highlights 12–13

Presidential Invited Speaker 15

IMS Medallion Lecture 16

Short Courses 17–19

Turorials 20–22

Roundtables 23–25

Program Summary 27–39

Scientific Program 40–98

Index 100–115

Grand Ballroom Floor Plan 116

Harborside Ballroom Floor Plan 117

Waterview Ballroom Floor Plan 118

PROGRAM 3 ENAR 2014 SPRING MEETING MARCH 16 – 19, 2014 Welcome I am delighted to welcome you sessions as organizers, chairs, and speakers. The invited program features recent advances in a broad set of top- to the 2014 ENAR Spring Meeting! ics such as statistical methods for longitudinal data, I am indebted to a dedicated team emerging methodology for big data (including, genom- of individuals for diligently planning ics, bioinformatics, imaging, etc.), clinical trials, functional data analysis, survival analysis, and epidemiologic and what promises to be an exciting and public health data. The scientific program will feature enriching program. an expanded number of poster presentations, including invited posters, and contributed poster presentations. For first time attendees of the ENAR Spring The ENAR Regional Advisory Board (RAB) will conduct Meeting, I extend a heartfelt welcome and a poster competition, which has been a resounding success in recent years. Finally, there will be numerous hope that you will continue to enjoy the annual contributed oral presentations, which are an integral part meeting for many years to come. For returning of the Spring Meeting. attendees, I trust that this year’s meeting will be most fulfilling and will energize you to continue Education Program Come and learn from the to carry out the vital work of statistical practice, best! There is no better opportunity to bolster your understanding of methodology and software that may research and development. The ENAR Spring be beneficial in the workplace, to learn about a topic out- Meeting is a wonderful opportunity to attend side of your primary area of specialization, or to deepen stimulating scientific sessions targeting the most your background in an area of interest. The Education pressing issues in our field, to deepen our under- Advisory Committee has compiled a set of fabulous short standing of cutting-edge statistical methods courses and tutorials featuring internationally renowned instructors. and software through our education program, to connect with old friends and meet new ones, The short course topics cover a range of areas such as to identify prospective employees/employers, to advanced high performance computing techniques and strategies for massive data, longitudinal data (including explore the latest books and software from our missing data, surrogate endpoints, and joint modeling with exhibitors, and so much more. survival outcomes), next generation sequencing, adaptive clinical trials, evaluation of prognostic biomarkers, causal Led by Program Chair, Scientific Program analysis, and functional data analysis, among others. Dr. Hernando Ombao of the University of California at Irvine, and Associate Chair, Dr. Qi Long of Emory The program will also offer a series of roundtable lun- University, the Program Committee has assembled an cheons with distinguished discussion leaders addressing outstanding invited scientific program. This would not topics of interest to statisticians in academia, government, be possible without the contributions from many of and industry. you who volunteered to participate in the invited

4 ENAR 2014 | SPRING MEETING | MARCH 16–19 Keynote Lectures Highlights of the ENAR 2014 faculty, and professionals from industry and government, Program include speakers for the Presidential Invited with a focus on recruitment, retention, and promotion Address and the IMS Medallion lecture. I am thrilled of biostatisticians from traditionally under-represented that these lectures will be given by preeminent schol- groups. I thank Dr. Knashawn Morales of the University ars who have made vast contributions within statistics of Pennsylvania and Dr. Simone Gray of the Centers for and biostatistics. Dr. Robert Tibshirani, from Stanford Disease Control and Prevention for their leadership in University, will deliver the Presidential Invited Address organizing this year’s workshop. The Council for Emerging entitled “A Significance Test for the Lasso.” Professor and New Statisticians (CENS) will hold an inaugural social Tibshirani has made seminal contributions in penalized event to increase networking opportunities for graduate regression, most notably the lasso, as well as the analy- students and recent graduates. Indicate your interest dur- sis of high throughput microarray array data. He has ing the ENAR Spring Meeting registration process. There is received numerous awards including some of the most a new member reception, and you will find a host of activi- distinguished honors in statistics and in science more ties for student members at the meeting. broadly. He is a member of the National Academy of A favorite for many is the Tuesday night social event, which Sciences, was a recipient of the Committee of Presidents I am excited to announce will be held at the National of Statistical Societies (COPSS) Presidents’ Award and Aquarium in Baltimore. Those who participate in this year’s the Statistical Society of Canada’s Gold Medal, and is a event will enjoy a wonderful evening of networking, a fellow of the Institute of Mathematical Statistics (IMS), dinner including authentic Maryland crab cakes, and the the American Statistical Association (ASA), and the Royal National Aquarium which features over 16,000 animals Society of Canada. including sharks, birds, frogs, turtles, dolphins, and jellies. Dr. Xihong Lin, from Harvard School of Public Health, will This is an event that you do not want to miss! give the IMS Medallion Lecture. Professor Lin has made a The conference hotel, the Marriott tremendous impact to the theory and practice of biosta- Meeting Venue Waterfront, is located along Harbor East, which is conve- tistics, including contributions to methodology for mixed niently situated near the Inner Harbor, Little Italy, and Fell’s models, nonparametric and semiparametric regression, Point, which offer an array of dining options, bars, and and statistical genetics and genomics. Among Professor entertainment. Lin’s numerous honors, she is the recipient of the COPSS Presidents’ Award, the Spiegelman Award, and the Acknowledgements I would like to thank the National Cancer Institute MERIT Award. She is a Fellow Local Arrangements Committee, led by Professor Ciprian of the ASA and IMS. Crainiceanu, for their planning efforts to ensure that meet- ing participants will experience the best that Baltimore has Additional Meeting Activities There are a to offer. Finally, I wish to express my sincere gratitude to host of other activities at the ENAR Spring Meeting for Kathy Hoskins, our ENAR Executive Director, Katie Earley, participants to find opportunities to engage. The Spring Challee Blackwelder, and their other colleagues at Drohan Meeting will feature the popular Career Placement Management for their incredible support in planning the Center. For participants seeking employment, be sure ENAR Spring Meeting. Kathy and her team have been vital in to register to gain access to many of the leading orga- the growing success of ENAR and its annual Spring Meeting. nizations in the field including government, academic, It has indeed been a pleasure working with you! and private institutions. The Fostering Diversity in DuBois Bowman Biostatistics Workshop will be held on Sunday, March ENAR 2014 President 16th. This workshop targets undergraduate students, undergraduate faculty, graduate students, graduate

PROGRAM 5 ACKNOWLEDGEMENTS ENAR would like to acknowledge the We gratefully acknowledge the invaluable support generous support of the 2014 Local and generosity of our Sponsors and Exhibitors. Arrangements Committee Chaired by Ciprian M. Crainiceanu Sponsors Novartis Exhibitors SIAM Oncology Society for Department of Biostatistics Alexion Cambridge Quintiles Industrial and Amgen University Press Applied Johns Hopkins University Center for CRC Press Mathematics and our student volunteers! Biogen Idec Inc. Statistics Cytel Inc. in Drug inVentive Health Springer Development Clinical Eli Lilly & Company Texas A&M Rho, Inc. Minitab University Emory University Department Department of SAS Institute Oxford University of Statistics Biostatistics and Statistics Press Bioinformatics, Collaborative, Inc. SAS Institute Wiley Rollins School of Public Health Statistics in Medicine/Wiley

Officers and Committees January–December 2014

Executive Committee | Officers President DuBois Bowman Past President Daniel Heitjan President-Elect José Pinheiro Regional Members of the Secretary Brent Coull (2013 – 2014) International Biometric Treasurer Sarah Ratcliffe(2012 – 2013) Society Executive Board Lisa LaVange Regional Committee (RECOM) Sharon-Lise Normand President | Chair DuBois Bowman José Pinheiro Nine Ordinary Members (elected to 3-year terms) RAB Chair Reneé Moore Regional Members of the RAB Chair-Elect Philip Reiss Council of the International Biometric Society 2012–2014 2013–2015 2014–2016 Scarlett Bellamy Francesca Dominici Sudipto Banerjee Michael Daniels Bradley Carlin Joseph Hogan Jeffrey Morris Michelle Dunn Timothy Johnson Bhramar Mukherjee Dionne Price Xihong Lin

Appointed Members of the Regional Advisory Board (3-year terms) Chair Reneé Moore | Chair-Elect Philip Reiss

2012 – 2014 2013–2015 2014 –2016 Zen Chen Jeff Leek Richard Cook Monnie McGee Hongyua Cao Alison Motsinger-Reif Christine Clark Jing Ning Lynn Eberly Philip Reiss Susmita Datta Todd Ogden Joel Dubin Mary Sammel Zhezhen Jin Peter Thall Martin Lindquist Sean Simpson Mithat Gönen Brisa Sánchez Clara Kim Sharon Xie Qi Long Abdus Wahed Brent Johnson Li Zhu Mi-Ok Kim Elizabeth Zell Brian Millen Menggang Yu

6 ENAR 2014 | SPRING MEETING | MARCH 16–19 Programs 2014 Spring Meeting | Baltimore, MD 2015 Spring Meeting | Miami, FL Program Chair Hernando Ombao Program Chair Mithat Gönen Program Co-Chair Qi Long Program Co-Chair Brisa Sánchez Local Arrangements Ciprian Crainiceanu Local Arrangements Tulay Koru-Sengul 2014 | Joint Statistical Meeting 2015 | Joint Statistical Meeting Doug Schaubel Olga Marchenko

Biometrics Executive Editor Marie Davidian ENAR Correspondent for the Biometric Bulletin Biometrics Co-Editors  Leslie McClure Jeanine Houwing-Duistermaat ENAR Executive Director Kathy Hoskins Russell B. Millar International Biometric Society Jeremy Taylor Executive Director Dee Ann Walker Biometric Bulletin Editor Dimitris Karlis JABES Editor Monteserrat Fuentes

ENAR Representative on the Representatives ASA Committee in Meetings Melanie Wall Committee of Presidents of Statistical Societies (COPSS) Distinguished Student ENAR Representatives  Paper Awards Committee President DuBois Bowman Karen Bandeen-Roche, Chair Past President Daniel Heitjan Johns Hopkins Bloomberg President-Elect José Pinheiro School of Public Health Veera Baladandayuthapani, MD ENAR Standing/Continuing Committees Anderson Cancer Center Nominating Committee (2014) Veronica Berrocal University of Michigan Chair Dan Heitjan Jason Fine Members: University of North Carolina Karen Bandeen-Roche (2014) Chapel Hill Brisa Sánchez (2013-2014) Amita Manatunga (2013-2014) Debashis Ghosh Penn State University Sponsorship Committee (2014) Joseph Hogan Brown University Diane Catellier University of North Carolina at Chapel Hill Mingyao Li University of Pennsylvania Rhonda Szczesniak Cincinnati Children's Hospital/ Martin Lindquist University of Cincinnati Johns Hopkins Bloomberg School of Public Health Roger Vaughn Columbia University Bhramar Mukherjee University of Michigan Jeffrey Morris, MD Anderson Cancer Center

PROGRAM 7 Brian Neelon Yuying Xie Duke University University of North Carolina at Chapel Hill Michael Newton Jing Zhang University of Wisconsin University of Minnesota Brian Reich Yiwei Zhang North Carolina State University University of Minnesota-Twin Cities Taki Shinohara Jing Zhou University of Pennsylvania University of North Carolina at Chapel Hill Julian Wolfson Jose Zubizarreta University of Minnesota The Wharton School Gui-Shuang Ying University of Pennsylvania University of Pennsylvania Hongtu Zhu 2014 Fostering Diversity in University of North Carolina at Chapel Hill Biostatistics Workshop Simone Gray, Co-Chair Award Winners Centers for Disease Control Van Ryzin Award Winner Knashawn H. Morales, Co-Chair University of Pennsylvania Yaoyao Xu Perelman School of Medicine University of Wisconsin-Madison Scarlett Bellamy University of Pennsylvania Distinguished Student Perelman School of Medicine Paper Award Winners DuBois Bowman Ian Barnett Emory University Harvard University Rollins School of Public Health Jonathan Gellar Caprichia Jeffers Johns Hopkins Bloomberg Emory University School of Public Health Rollins School of Public Health Fei Jiang Amita Manatunga Rice University Emory University Chi Hyun Lee Rollins School of Public Health University of Minnesota Reneé H. Moore Gen Li North Carolina State University University of North Carolina at Chapel Hill Sastry Pantula Qian Liu North Carolina State University University of North Carolina at Chapel Hill Adriana Perez Xiaoxi Liu The University of Texas Health Science University of North Carolina at Chapel Hill Center at Houston Ai Ni Dionne Price University of North Carolina at Chapel Hill Food and Drug Administration Fang-Shu Ou DeJuran Richardson University of North Carolina at Chapel Hill Lake Forest College Huitong Qui Louise Ryan Johns Hopkins University University of Technology Sydney Michael Rosenthal Keith Soper Florida State University Merck Research Laboratories Xu Shu Alisa J. Stephens University of Michigan University of Pennsylvania Kay See Tan Perelman School of Medicine University of Pennsylvania Lance Waller Yuan Wang Emory University University of Wisconsin-Madison Rollins School of Public Health

8 ENAR 2014 | SPRING MEETING | MARCH 16–19 2014 RAB Poster Award CENS Members: Competition Committee Lauren Kunz, Biostat Student Reneé Moore, Chair Harvard School of Public Health North Carolina State University Mallorie Fiero, Biostat Student Philip Reiss, Co-Chair University of Arizona New York University Jarcy Zee, Biostat Student Lan Huo University of Pennsylvania New York University Naomi Brownstein, Postdoc Alex Iagnocco Ion Cyclotrone Resonance Program North Carolina State University National High Magnetic Field Lab Florida State University Domonique Watson Emory University Tapan Mehta, Asstistant Professor Dept of Physical Therapy at the Univ. of Dominique Williams Alabama at Birmingham Eli Lilly Ming Wang, Asstistant Professor Biostat and Bioinformatics at Penn State 2014 Council for Emerging and New Statisticians (CENS) Miles Ott, Visiting Asstistant Professor Math at Carleton College RAB Liaisons: Clara Kim, Chair Victoria Liublinska, College Fellow Hormuzd Katki Stat at the Harvard Grad School of Arts and Reneé Moore Sciences Philip Reiss Kati McConville, Researcher Members: Biostat at Rho Incorporated Naomi Brownstein Xiaosong Li, Lecturer Mallorie Fiero Statistics at UNCW Lauren Kunz Xiaosong Li American Association for the Victoria Liublinska Advancement of Science Kati McConville (Joint with WNAR) Tapan Mehta Section E | Geology and Geography Miles Ott Dr. Michael Emch Ming Wang Jarcy Zee Section N | Medical Sciences Dr. Abdus S. Wahed Affiliation List Section G | Biological Sciences Dr. Andrea S. Foulkes RAB Liaisons: Clara Kim, Chair Section U | Statistics FDA Dr. Jessica Utts Hormuzd Katki Section O | Agriculture National Cancer Institute Dr. Andrew O. Finley Reneé Moore North Carolina State University National Institute of Statistical Sciences Philip Reiss (ENAR President is also an ex-officio member) New York University Board of Trustees Member: Donna Brogan

Visit the ENAR website: www.enar.org as a resource of information on all ENAR activities.

PROGRAM 9 SPECIAL THANKS! 2013 ENAR Program Committee Mike Larsen ENAR Educational ASA Section on Survey Research Methods Advisory Committee Hernando Ombao | Chair George Washington University University of California, Irvine DuBois Bowman | ‘14 ENAR President Martin Lindquist Columbia University Qi Long | Associate Chair ASA Section on Statistics in Imaging Emory University Johns Hopkins University Amita Manatunga Emory University Madhu Mazumdar IMS Program Chair ASA Section on ASA Section on ASA Section Robert Lyles Emory University Daniel Scharfstein on Statistics in Epidemiology Johns Hopkins University Weil Medical College of Ying Guo Cornell University Emory University At-Large Members Jason Roy ASA Biometrics Section Local Arrangements Chair Paul Albert University of Pennsylvania NIH-NICHHD Ciprian Crainiceanu Yuanjia Wang Johns Hopkins University Nilanjan Chatterjee ASA Section on Mental Health NIH-NCI Research Charmaine Dean Columbia University ENAR Student Awards 2014 University of Western Ontario Edward Wegman Karen Bandeen-Roche | Chair ASA Section on Statistics in Defense and Johns Hopkins University Section Representatives National Security George Mason University Veronica Berrocal ENAR Diversity Workshop 2014 Section on ASA Section on Katie Ziegler-Graham Knashawn Morales | Co-Chair Statistics and the Environment ASA Section on Statistical Education University of Pennsylvania University of Michigan St. Olaf College Simone Gray | Co-Chair Ivan Chan Daniela Witten Centers for Disease Control and Prevention ASA Biopharmaceutical Section Section on Statistical Learning Merck and Data Mining University of Washington ENAR Executive Team Kathy Hoskins | Executive Director Katie Earley | Program Manager Challee Blackwelder | Administrator

10 ENAR 2014 | SPRING MEETING | MARCH 16–19 PROGRAM 11 LOCAL INFORMATION BALTIMORE, CHARM CITY Baltimore, or Charm City, is a thriving all-American city with world leading research universities such as Johns Hopkins University and the University of Maryland. Baltimore has a thriving economy powered by tourism and a thriving industry including Under Armor, Black and Decker, Domino Sugar, the Port of Baltimore, T. Rowe Price, and Northrop Grumman. Charm City is also the home of the Ravens football team, the 2000 and 2012 Super Bowl champions, and the Orioles baseball team, the 1966, 1970, and 1983 World Series champions.

Baltimore National Aquarium Walter’s Museum Fells Point The Aquarium is just short walk away from The Walter’s is an internationally renowned Fells Point is a historic waterfront the Baltimore Marriott Waterfront Hotel art museum with exhibitions spanning neighborhood and an absolute favorite with and is the home of a new Australian wing more than 5000 years from pre-dynastic the locals. Walking around Fells Point marina and of the newly remodeled Blacktip Reef. Egypt to 20th-century Europe. General provides excellent opportunities to dine in Atlantic bottlenose dolphins, jellyfish, admission is free, but watch for the paid some of the best city restaurants including poison frogs, sharks, corals, and octopuses special exhibitions; they are a must see. Mezze, The Black Olive, Kali’s Court, the are just some of attractions that will make Nanami Café or enjoy an all American every visit unforgettable. burger and beer at one of the many bars and grills including Red Star, Bad Decisions, Inner Harbor Bond Street Social, Kooper’s Tavern, Cat’s Eye The Baltimore inner harbor is spectacular, Pub, and The Horse You Came in On. No trip a symbol of the dynamic remaking of the to Fells Point is complete without a visit to city, and the major touristic attraction of Bonaparte Breads, a French bakery, which Baltimore. The waterfront provides beautiful is the preferred bread maker for many top views of the marina and easy access to restaurants in the Baltimore/DC area. many attractions including the National Aquarium, Maryland Science Center, and the American Visionary Art Museum. Not to be missed are the Fudgery, the water taxy ride to Fort McHenry, or one of the many hour-long water cruises that can be booked on the spot.

12 ENAR 2014 | SPRING MEETING | MARCH 16–19 BALTIMORE SO MANY THINGS TO DO! Little Italy Crabs and Crab Cakes This charming neighborhood is located Picking steamed crabs spiced with Old Bay in the heart of downtown Baltimore and and eating crab cakes are quintessential within walking distance of the meeting Baltimore experiences. There are many hotel. Located between the Inner Harbor places to enjoy an authentic Baltimore and historic Fells Point Little Italy has culinary experience including Captain almost 30 restaurants, outdoor movies, James, Nick’s Fish House, LP Steamers, bocce tournaments, and friendly narrow Canton Dockside, Riptide by the Bay, streets to explore. Jimmy’s Famous Seafood, and Costas Inn. Some may require planning, transportation and calling ahead to check for crab size and availability.

Restaurants Baltimore offers an amazing assortment of restaurants with a great selection of cuisine including Afghani (The Helmand), American (Charleston, Salt Tavern, The Fleet Street Kitchen, Woodberry Kitchen, Wit & Wisdom, Blue Hill Tavern, Brewer’s Art), Ethiopian (Dukem), Greek (Mezze, The Black Olive, Ouzo Bay), Italian (La Scala, Cinghiale, La Tavola), Japanese (Nanami cafe), Jewish (Goldberg’s Bagels, Umami), Lebanese (The Lebanese Taverna), French (Petit Louis), Russian (Ze Mean Bean Café, Vernisage), Spanish (Tio Pepe), Turkish (Cazbar). This is just a small selection and there are many, many more restaurants to choose from.

Water Taxi The water taxi is a wonderful way to visit the inner harbor’s best attractions, restaurants, bars, and shopping. It has 17 stops including the Aquarium, Science Center, Harbor East, Fell’s Point, and Fort McHenry. On a warm day this is probably the best way to enjoy crabs at Captain James Landing and learn about the history of the American national anthem by visiting Fort McHenry.

PROGRAM 13 ABSTRACTS & POSTER PRESENTATIONS POSTER & ABSTRACTS

14 ENAR 2014 | SPRING MEETING | MARCH 16–19 Presidential Invited Speaker A Significance Test for the Lasso

Robert J. Tibshirani, Ph.D. Departments of Statistics and Health Research and Policy Stanford University

In this talk, I consider testing the significance of the terms in a fitted regression, fit via the lasso. I propose a novel test statistic for this problem, and show that it has a simple asymptotic null distribution. This work builds on the least angle regression approach for fitting the lasso, and the notion of degrees of freedom for adaptive models (Efron 1986) and for the lasso (Efron et. al 2004, Zou et al 2007). I give examples of this procedure, discuss extensions to generalized linear models and the Cox model, and describe an R language package for its computation. In addition, generalizations to a broad range of adaptive fitting such as graphical models and clustering will be outlined. This work is joint with Richard Lockhart (Simon Fraser University), Jonathan Taylor (Stanford University) and Ryan Tibshirani (Carnegie Mellon University).

Biography Robert Tibshirani is a Professor in the Departments of Statistics and Health Research and Policy at Stanford University. He received a bachelor’s degree from the University of Waterloo, a master’s degree from the University of Toronto and a Ph.D. from Stanford University. He was a Professor at the University of Toronto from 1985 to 1998.

Professor Tibshirani is a Fellow of the American Statistical Association, the Institute of Mathematical Statistics and the Royal Society of Canada. He won the prestigious COPSS Presidents’ award in 1996, the NSERC Steacie award in 1997, the CRM-SSC Prize in Statistics in 2000, and the University of Waterloo distinguished alumni achievement award in 2006. He was elected to the National Academy of Sciences in 2013.

In his work he has made important contributions to the analysis of complex datasets, most recently in genomics and proteomics. Some of his most well-known contributions are the lasso, which uses L1 penalization in regression and related problems, generalized additive models and Significance Analysis of Microarrays (SAM). He also co-authored three widely used books “Generalized Additive Models”, “An Introduction to the Bootstrap”, and “The Elements of Statistical Learning”, now in its second edition.

PROGRAM 15 IMS Medallion Lecture Statistical Genetics and Genomics in the Big Data Era: Opportunities and Challenges in Research and Training

Xihong Lin, Ph.D. Department of Biostatistics Harvard School of Public Health

The human genome project in conjunction with the rapid advance of high throughput technology has transformed the landscape of health science research. The genetic and genomic era provides an unprecedented promise of understanding genetic underpinnings of complex diseases or traits, study- ing gene-environment interactions, predicting disease risk, and improving prevention and intervention, and advancing personalized medicine. A large number of genome-wide asso- ciation studies conducted in the last ten years have identified over 1,000 common genetic variants that are associated with many complex diseases and traits. Massive next generation sequencing data as well as different types of ‘omics data have become rapidly available in the last few years. These big genetic and genomic data present statisticians with many exciting opportunities as well as challenges in data analysis and in interpretation of results. They also call for more interdisciplinary knowledge and research, e.g., in statistics, machine learning, data curation, molecular biology, genetic epidemiology and clinical science. In this talk, I will discuss some of these challenges, such as low-level pre-processing, analysis of rare variants in next generation sequencing association studies; integrative genomics, which integrates dif- ferent types of ‘oimcs data; and study of gene-environment and gene-treatment interactions. I will also discuss strategies of training next generation quantitative genomic scientists at the interface of statistical genetics and genomics, computational biology and genetic epidemiol- ogy, to meet these challenges.

Biography Xihong Lin is Professor of Biostatistics and Coordinating Director of the Program of Quantitative Genomics at the Harvard School of Public Health (HSPH). She received PhD degree from the Department of Biostatistics of the University of Washington in 1994 under the direction of Professor Norman Breslow. She was on the faculty of the Department of Biostatistics at the University of Michigan between 1994 and 2005 before she joined the HSPH in 2005. Lin received the 2002 Mortimer Spiegelman Award from the American Public Health Association, and the 2006 Presidents’ Award from the Committee of the Presidents of Statistical Societies (COPSS). She is an elected fellow of the American Statistical Association, Institute of Mathematical Statistics, and International Statistical Institute. Lin was the former Chair of the COPSS (2010-2012). She is currently a member of the Committee of Applied and Theoretical Statistics of the US National Academy of Science. Lin is a recipient of the MERIT (Method to Extend Research in Time) award from the National Cancer Institute, which pro- vides a long term support for her methodological research. She is the PI of the T32 training grant on interdisciplinary training in statistical genetics and computational biology. She has served on numerous editorial boards of statistical and genetic journals. She was the former Coordinating Editor of Biometrics, and currently the co-editor of Statistics in Biosciences, and the Associate Editor of Journal of the American Statistical Association and American Journal of Human Genetics. She was a permanent member of the NIH study section of Biostatistical Methods and Study Designs (BMRD), and has served on a large number of other study sec- tions of NIH and NSF.

16 ENAR 2014 | SPRING MEETING | MARCH 16–19 SHORT COURSES | SUNDAY, MARCH 16

SC1: Longitudinal and Incomplete Data FULL DAY 8:00 am – 5:00 pm Geert Molenberghs Universiteit Hasselt and the Katholieke Universiteit Leuven in Belgium Geert Verbeke KU Leuven that, if no appropriate measures are taken, missing data can cause seriously jeopardizing results, and interpretation Overview difficulties are bound to occur. Methods to properly analyze We first briefly present linear mixed models for continuous incomplete data, under flexible assumptions, are presented. hierarchical data. The focus lies on the modeler’s perspective All developments will be illustrated with worked examples and on applications. Emphasis will be on model formulation, using the SAS System. parameter estimation, and hypothesis testing, as well as on the distinction between the random-effects (hierarchical) The Course model and the implied marginal model. — Session 1: Linear mixed models, model formulation, parameter interpretation, hierarchical versus marginal Second, models for non-Gaussian data will be discussed, model interpretation, estimation and inference, with a strong emphasis on generalized estimating equations empirical Bayes (GEE) and the generalized linear mixed model (GLMM). To usefully introduce this theme, a brief review of the classical — Session 2: Model families for discrete outcomes, marginal generalized linear modeling framework will be presented. models, generalized estimating equations (GEE) Similarities and differences with the continuous case will be — Session 3: Generalized mixed models, estimation discussed. The differences between marginal models, such as methods (Laplace, MQL, PQL, Quadrature), comparison GEE, and random-effects models, such as the GLMM, will be with GEE explained in detail. Third, when analyzing hierarchical and longitudinal data, — Session 4: Missing data mechanisms, problems with one is often confronted with missing observations, i.e., nonrandom dropout (i.e., bias, loss of efficiency, etc.), scheduled measurements have not been made, due to a modeling frameworks to handle dropout (selection, variety of (known or unknown) reasons. It will be shown pattern mixture and shared parameter models), sensitivity analyses PROGRAM 17 The course will then cover more advanced topics of fitting SC2: Bayesian Methods for statistical models to large data via Hadoop. We will mainly Data Analysis, Meta-Analysis, focus on applications like computational advertising and content recommendation where the goal is to recommend and Adaptive Clinical Trials items to users when visiting a website to maximize some positive response like clicks. This is a high dimensional bandit FULL DAY 8:00 am – 5:00 pm problem since there is positive utility in showing items that Brad Carlin have low mean and high variance. A practical approach University of Minnesota is to reduce the dimension through multi-level bilinear random effects model and couple it with classical bandit Overview solutions. Numerous examples of real systems the author This course will provide a review of Bayesian inference, meta- has deployed at big web companies like Yahoo! and LinkedIn analysis, and Bayesian adaptive methods for clinical trials. will be used to illustrate the methods. Special focus will be To begin, the review of Bayesian methods will include prior on scalable model fitting of mixed effects generalized linear determination, point and interval estimation, hypothesis models fitted to datasets consisting of hundreds of millions of testing, prediction, and model choice. There will also be a observations and hundreds of thousands of predictors. review of Bayesian computation, including Markov chain Monte Carlo (MCMC) methods, Gibbs sampling, and other extensions. To facilitate practical implementation of topics covered, there will be a computer demonstration of the SC4: Statistical Methods WinBUGS software in a few standard models. After the lunch break, the course turns to the basics of Bayesian clinical for Genome Wide Regional trial design, including the notions of range of equivalence, Analysis with Next Generation community of priors, and a discussion of available software. Bayesian adaptive methods will include rule- (3+3) and Sequencing Data model-based (CRM, EWOC) designs for finding the maximum tolerated dose (MTD), sequential stopping for futility, efficacy, HALF DAY 8:00 am – 12:00 noon and/or toxicity, and adaptive randomization and dose Rafael Irizarry allocation. There will also be a discussion of network meta- Harvard University analysis, as well as the closely related topic of incorporation of historical data in clinical trial design and analysis. Hao Wu Emory University

Overview SC3: Statistical Computing Genome wide regional analysis is the task of detecting genomic regions of certain interest from whole-genome for Big Data data. Examples of these regions include protein-binding sites where different proteins interact with DNA, histone FULL DAY 8:00 am – 5:00 pm modification regions, and regions exhibiting differential Deepak Agarwal DNA methylation between different biological contexts. LinkedIn High-throughput experiments such as next-generation sequencing (NGS) enable the detection of these regions Overview at the whole-genome scale. The data collected from these Massive data get generated, stored and analyzed every day experiments are tightly spaced on the linear genome. At the in various fields like bioinformatics, climatology, internet, regions of interest, the data show different distribution from telecommunications, and many more. Hadoop has become the majority of the genome, and sometimes look like short the most popular distributed file storage (and computing) and pointy “peaks” or broad “blocks” when plotting against system in the world. A challenging and growing research area the genomic coordinates. So the methods of detecting these concerns the development of appropriate statistical methods regions have the general theme of “peak/block detection”. for analyzing such large-scale data. The objective of this short course is to provide a high level introduction to the open- In this half-day short course, we will cover the statistical source Hadoop system that uses Map-Reduce framework, and methods and software for peak/block detection from NGS more importantly, to illustrate the use of Map-Reduce and data. We will first provide a general introduction to NGS Hadoop for real statistical applications, starting from basics technology and its applications. Then we will focus on two like computing means and variances. specific applications of NGS: ChIP-seq for protein binding site and histone modification region detection, and bisulfite sequencing (BS-seq) for detection of DNA methylation regions. The data from each application suffer from systematic biases

18 ENAR 2014 | SPRING MEETING | MARCH 16–19 that need to be carefully accounted for in order to design models. Both linear mixed models as well as generalized linear sound statistical methods for analyses. We will introduce the mixed models will be discussed for the longitudinal models biological motivation, technical procedures, raw data formats, and Cox-type, piecewise constant hazard, as well as cure rate characteristics of the data, and then provide an in-depth review models will be discussed for the survival component. Both of the statistical methods. In the computer lab, we will provide univariate and multivariate survival models will be discussed hands-on exercise of sequence mapping and statistical analysis as well as multivariate longitudinal models. Several types of using open source software such as R/Bioconductor. applications will also be discussed including ones in cancer, vaccine studies, quality of life studies, and AIDS research. The Course Missing data issues will also be examined, and SAS and R — Introduction to NGS technologies software for fitting joint models will be illustrated in detail.

— Statistical methods for ChIP-seq and The Course BS-seq data analyses — Introduction to joint models: selection, pattern mixture — Computer lab includes following exercises and shared parameter models — Sequence alignment using bowtie — A review of the existing frequentist and Bayesian methodologies for joint modeling with applications — Use GenomicRanges and GenomicFeatures to cancer, vaccine studies, quality of life studies, and Bioconductor package to analyze and annotate AIDS research ChIP-seq analysis results — SAS and R software for fitting joint models with — Use bsseq Bioconductor package to analyze applications to cancer, vaccine studies, quality BS-seq data of life studies, and AIDS research — Multivariate joint models of longitudinal SC5: Statistical Evaluation of and survival data Prognostic Biomarkers — Joint cure rate models — Model assessment and diagnostics HALF DAY 8:00 am – 12:00 noon — Clinical trials design using joint models Patrick Heagerty University of Washington Overview SC7: Bayesian Disease Mapping This course will introduce predictive accuracy concepts that allow evaluation of time-dependent sensitivity and specificity with INLA: An Introduction for prognosis of a subsequent event time. We will overview options that are appropriate for both baseline markers and HALF DAY 1:00 pm – 5:00 pm for longitudinal markers. Methods will be illustrated using Andrew Lawson examples from HIV and cancer research and we will highlight Medical University of South Carolina R packages that are currently available. Overview This course will cover methodology and computational strategies for Bayesian disease mapping, beginning with SC6: Joint Modeling of an introduction to the Bayesian modeling paradigm and basic disease mapping concepts. The course will proceed to Longitudinal and Survival Data discuss disease mapping models with hierarchical structure and posterior sampling versus posterior approximation. For HALF DAY 1:00 pm – 5:00 pm approximation methods, particular attention will be devoted Joseph G. Ibrahim to the integrated nested Laplace approximation (INLA) and its University of North Carolina at Chapel Hill implementation with the R package INLA. Examples of fitting disease mapping models using INLA will be presented, and Overview sample R programs will be provided to course attendees. In this short course, we will examine in depth statistical methods for joint modeling of longitudinal and survival data. Both frequentist and Bayesian approaches will be examined. The types of joint models that will be discussed are selection models, pattern mixture models, and shared parameter

PROGRAM 19 TUTORIALS MONDAY, MARCH 17 T1: An Introduction to Comparative T2: Functional Data Analysis: Effectiveness Research Techniques and Applications 8:30 am – 10:15 am 10:30 am – 12:15 pm Sharon-Lise Normand R. Todd Ogden and Jeff Goldsmith Harvard School of Public Health Columbia University

Description Description Comparative Effectiveness Research (CER) refers to a body As modern technological advances allow the collection of of research that generates and synthesizes evidence on the increasingly large and complex datasets, there is urgent need comparative benefits and harms of alternative interventions for practitioners to be able to analyze and model such data. to prevent, diagnose, treat, and monitor clinical conditions, We will focus on one special type of data: functional data, or to improve the delivery of health care. The evidence from which consists of all data measured over some continuum and CER is intended to support clinical and policy decision making thus can be regarded as being a function of some continuous at both the individual and the population level. While the variable. Examples include growth curves (any data collected growth of massive health care data sources has given rise over time), spectral data, imaging data, and so on. to new opportunities for CER, several statistical challenges This tutorial will provide an introduction to the general topic have also emerged. This tutorial will provide an overview of of functional data analysis targeted to the practitioner. We will the types of research questions addressed by CER, review the describe various techniques in common use in the area (see main statistical methodology currently utilized, and highlight outline below) and illustrate these with real data examples. In areas where new methodology is required. Examples from addition, we will provide code used to carry out the various cardiology and mental illness will illustrate substantive and analyses, allowing participants to quickly get up to speed in methodological issues. performing their own analyses of functional data.

The Tutorial — Functional data examples and terminology — Descriptive analysis techniques — Smoothing techniques and basis functions — Functional principal component analysis — Linear regression models with functional data — Scalar-on-function regression

20 ENAR 2014 | SPRING MEETING | MARCH 16–19 — Function-on-scalar regression In this tutorial we review some of the popular models, including Dirichlet process (DP) models, Polya tree models, — Function-on-function regression DP mixtures and dependent DP (DDP) models. We will review — Brief overview of other modern advances some of the general modeling principles, including species sampling models, stick breaking priors, product partition — Nonparametric functional data analysis models for random partition and normalized random measures — Multilevel and longitudinal functional data with independent increments. We will briefly discuss some of the main computational algorithms and available software. The discussion will be illustrated by applications to problems in T3: Nonparametric biostatistics and bioinformatics. Bayesian Data Analysis T4: Quantile Regression 1:45 pm – 3:30 pm Peter Müller for Survival Analysis University of Texas, Austin 3:45 pm – 5:30 pm Description Limin Peng All models are wrong, but some are useful. Many statisticians Emory University know and appreciate G.E.P. Box’s comment on statistical modeling. Often the choice of the final model is a compromise Description between an accurate representation of the experimental Quantile regression, as a significant extension of the traditional conditions, a preference for parsimony and the need for a accelerated failure time model, has many natural appeals practicable implementation. The competing goals are not for survival analysis. It offers flexibility to dynamically assess always honestly spelled out, and the resulting uncertainties are the relationships between survival outcomes and covariates not fully described. Over the last 20 years, a powerful inference while retaining easy physical interpretation. Many methods approach that allows mitigating some of these limitations has developed for quantile regression with survival data also have become increasingly popular. Bayesian nonparametric (BNP) nice computational features, which are expected to foster their inference allows acknowledging uncertainty about an assumed biomedical applications. In this tutorial, the main questions sampling model while maintaining a practically feasible to be addressed include: (1) what can quantile regression inference approach. We could take this feature as a pragmatic offer beyond standard survival analysis? (2) what are the well- characterization of BNP as flexible prior probability models developed approaches that can readily be used for analyzing that generalize traditional models by allowing for positive prior survival data? (3) how to implement these methods in practice? probability for a very wide range of alternative models, while We will conclude with some remarks on limitations and centering the prior around a parsimonious traditional model. challenges in this field. A formal definition of BNP is as probability models on infinite dimensional parameter spaces. A typical application of BNP is to density estimation.

PROGRAM 21 TUTORIALS TUESDAY, MARCH 18

T5: An Introduction to High- T7: Cure Models Performance Computing with R and Their Applications 8:30 am – 10:15 am 3:45 pm – 5:30 pm John Emerson Jeremy M. G. Taylor Yale University University of Michigan Description Paul Y. Peng This tutorial will introduce you to topics in high-performance Queen’s University computing with R. We will quickly explore the new parallel package (containing snow and multicore). We will Description then concentrate on the elegant framework for parallel Cure models refer to a class of extended survival models programming offered by packages foreach and the associated for survival data with a cure fraction. The standard parallel backends. We will touch upon a range of related survival models often assume that subjects in a study will topics including memory management and algorithmic experience the event of interest with sufficient follow-up efficiency. Time permitting, we will conclude with basic without censoring. However, this assumption may not be examples of handling larger-than-RAM numeric matrices and appropriate in situations such as cancer studies where use of shared memory. patients may be cured and will not experience relapse, however long the follow-up, and cure models must be considered to analyze survival data in such studies. Cure models also find applications in other disciplines, such as T6: Causal Mediation Analysis epidemiology, psychology, public health and economics. The last 15 years witnessed a rapid growth in extending 1:45 pm – 3:30 pm survival models to accommodate potentially cured subjects. Tyler VanderWeele New statistical methodologies were developed to extend Harvard School of Public Health the existing survival models, and the newly proposed cure models greatly expand the applicability of cure models Description to various types of survival data with a cured fraction and This tutorial will cover some of the recent developments provide appealing ways to interpret the results of analysis, in causal mediation analysis and provide practical tools to compared to standard survival analysis models. The tutorial implement these techniques. Mediation analysis concerns will cover the mixture model and bounded cumulative assessing the mechanisms and pathways by which causal hazard formulation of cure models, estimation methods, effects operate. The lecture will cover the relationship identifiability issues, software and extensions to clustered between traditional methods for mediation in epidemiology data. The instructors will introduce some real life data sets and the social sciences and those that have been developing from clinical studies, present necessary details of the cure within the causal inference literature using natural direct and models and recent advances, and demonstrate the use of indirect effects. Methods for dichotomous, continuous, and the cure models on the data with software. time-to-event outcomes will be described. Special attention will be given to the strong assumptions about confounding that must be made to identify direct and indirect effects. The tutorial will discuss the use and implementation of sensitivity analysis techniques to assess how sensitive conclusions are to violations of confounding assumptions. Discussion will be given to how such mediation analysis approaches can be extended to settings in which data come from a case-control study design. The methods will be illustrated by various applications to perinatal, genetic and social epidemiology.

22 ENAR 2014 | SPRING MEETING | MARCH 16–19 ROUNDTABLES MONDAY, MARCH 17 | 12:15 PM – 1:30 PM

R1: Writing a Successful Grant in a R3: Statistics and the Law: Challenging Funding Climate: Statisticians as Expert Strategies for Statistical and Witnesses Other Scientific Review Panels Bruce Levin Columbia University Amita Manatunga Emory University Description How is statistical evidence presented and used in legal Description proceedings, especially from the perspective of an expert I will focus on strategies for writing a successful NIH grant witness? Statistical evidence plays an important role in legal application to support statistical methodological research. I proceedings such as toxic tort cases, class actions in the areas will begin with an outline of the grant submission and review of equal employment opportunity and equal opportunity processes and descriptions of popular NIH grant mechanisms, in housing, voting rights cases, patent disputes, challenged namely R01, R03 and R21 grants. I will describe characteristics elections, adverse events in drug trials, calculation of damages of high-quality grant applications including the formulation resulting from theft, collusion, health insurance fraud, and of specific aims and preliminary data with the emphasis on other audits involving sampling, and many more, in settings significance and innovation. Other discussions will include ranging from jury trials, bench trials, administrative hearings, strategies for submitting methodological grants to other arbitration hearings, depositions, and the lawyer’s office. In Study Sections besides to the Biostatistical Methods and addition, studies of the legal system itself are proliferating Research Design (BMRD) study section. and are increasingly statistical in nature, with entire journals devoted to the subject. We will discuss the following topics (as time permits): communicating statistical concepts and R2: Key Elements of a Successful findings clearly and effectively, in both verbal testimony and written reports; do’s and don’t’s of being an expert Career as a Tenure Track Faculty witness; how lawyers make effective use of experts; what experts should expect in and out of the courtroom; the Member adversarial paradigm versus the academic research paradigm; Francesca Dominici and relevant ethical issues. The discussion leader has over Harvard School of Public Health 35 years of experience working with lawyers in litigation support, publishing scholarly legal articles with attorneys, and Description testifying as an expert statistical witness in legal proceedings. We will have an informal discussion regarding challenges He is co-author with lawyer Michael O. Finkelstein of the and opportunities for junior tenure track faculty in textbook Statistics for Lawyers (2nd edition, Springer, 2001), quantitative departments. We will discuss topics related to: the third edition of which is forthcoming. balancing papers and grant submissions, management of interdisciplinary collaborations, teaching, negotiation skills, work family balance etc.

PROGRAM 23 devices, our nation’s food supply, cosmetics, and products R4: Research Opportunities that emit radiation. Statisticians analyze and evaluate data, at the US Census Bureau provide leadership, promote innovation in study designs and statistical techniques, and conduct methodological Thomas A. Louis research aimed at addressing the many complex issues that Johns Hopkins and U.S. Census Bureau arise in a regulatory environment. FDA statisticians utilize Description their statistical training and knowledge to directly impact In order to meet the challenges of efficiently obtaining valid the public health. Roundtable participants will learn the role demographic, economic, and activity-based information, of statisticians at the FDA and potential paths to successful making it available to the public while protecting careers with the Agency. confidentiality, research at the U.S. Census Bureau and other federal statistical agencies, indeed survey research more generally, burgeons. At the roundtable I’ll briefly describe R7: Publishing Without Perishing: the Research & Methodology directorate, list major research goals with related statistical and computational issues and Strategies for Success in methods. Many are similar to those addressed by and used in Biostatistics and Informatics, and we can consider a subset. Publishing in (Bio)statistical We’ll close with a discussion of career opportunities. Visit Journals (http://www.census.gov/research/) for some background. Marie Davidian North Carolina State University R5: The Leadership Role of a Description Contributing to the advance of our discipline through Statistician on Interdisciplinary publication of articles in peer-reviewed journals is a fundamental expectation for both junior and not-so- Research Teams junior biostatistical researchers alike. Success in publishing Scarlett Bellamy one’s work ensures that it will be widely disseminated University of Pennsylvania to researchers and practitioners who stand to benefit. In addition, funding agencies and academic institutions Description place considerable importance on a successful record of Informal discussion will primarily focus on identifying publication. Accordingly, understanding the peer review leadership opportunities and roles in the context of and editorial processes of top journals and mastering the art interdisciplinary research teams. These may be research of writing an effective journal article are keys to success in based (e.g., statistical leadership for an analytical core for a publishing. How does one determine the best outlet for one’s large Center) or training-focused (e.g., serving as PI for an work? What are the essential elements of a successful journal institutional training grant). We will also discuss key elements article? How does one maximize the chance of acceptance? for successful leadership as well as identify strategies for being What strategies can ensure that a published paper is read and invited to take on such roles. cited? How does one make optimal use of limited space and additional supplementary material in conveying the message? What are the roles of the editor, associate editor, and referees? R6: The Role of What considerations do editors use when evaluating a paper? This roundtable will provide a forum for candid discussion of Statisticians at the FDA these and other questions. Dionne L. Price Food and Drug Administration

Description The Food and Drug Administration (FDA) is composed of seven centers which collectively employ over 250 statisticians. Statisticians at the FDA are an integral part of multidisciplinary teams dedicated to assuring the safety and efficacy of human and veterinary drugs, biological products, medical

24 ENAR 2014 | SPRING MEETING | MARCH 16–19 R8: Preparing for Leadership R9: Preparing for Leadership in Opportunities in the Statistics Pharmaceutical Industry Michael Kosorok University of North Carolina at Chapel Hill Aarti Shah Eli Lilly and Company Description We will discuss how statisticians can prepare for leadership Description roles during the course of their career. This will include a Tom Davenport in his book Competing on Analytics writes review of fundamental leadership skills applicable to both “The companies that are winning are those which are deriving small and large groups, as well as specialized leadership skills business benefits through deep and sophisticated analytics.” needed to lead academic departments and other similar Who will lead companies to translate the sophisticated organizations. We will explore the benefits of delegation, analytics to business benefits? Is it the statistician? If yes, empowering others, and maintaining flexibility and balance. what leadership skills does a statistician need in addition We will also discuss ways to help students prepare for to his or her deep technical knowledge? In this session, we future leadership roles and the pros and cons of accepting will discuss leadership skills that are absolutely necessary leadership positions. for today’s statistician to be successful and how one goes about developing these skills. We will explore the topic of “Statistical Leadership”.

PROGRAM 25 ENAR 2014 SPRING MEETING

26 ENAR 2014 | SPRING MEETING | MARCH 16–19 PROGRAM SUMMARY

Saturday, March 15

3:30 pm – 5:30 pm Conference Registration Grand Ballroom Registration (3rd Floor) Sunday, March 16 7:30 am – 6:30 pm Conference Registration Grand Ballroom Registration (3rd Floor) 8:00 am – 12:00 pm SHORT COURSES

SC4: Grand Ballroom VIII Statistical Methods for Genome Wide Regional (3rd Floor) Analysis with Next Generation Sequencing Data

SC5: Grand Ballroom X Statistical Evaluation of Prognostic Biomarkers (3rd Floor) 8:00 am – 5:00 pm SHORT COURSES

SC1: Grand Ballroom III Longitudinal and Incomplete Data (3rd Floor)

SC2: Grand Ballroom IV Bayesian Methods for Data Analysis, Meta-Analysis (3rd Floor) and Adaptive Clinical Trials

SC3: Grand Ballroom I Statistical Computing for Big Data (3rd Floor) 12:30 pm – 5:30 pm DIVERSITY WORKSHOP Essex Room (4th Floor) 1:00 pm – 5:00 pm SHORT COURSES

SC6: Grand Ballroom X Joint Modeling of Longitudinal and Survival Data (3rd Floor)

SC7: Grand Ballroom VIII Bayesian Disease Mapping with INLA: An Introduction (3rd Floor)

PROGRAM 27 Sunday, March 16 (continued) 3:00 pm – 6:00 pm Exhibits Open Grand Ballroom Foyer (3rd Floor) 4:00 pm – 6:30 pm PLACEMENT SERVICE Waterview Rooms ABC (Lobby Level) 4:30 pm – 7:00 pm ENAR EXECUTIVE COMMITTEE Waterview D (by Invitation Only) (Lobby Level) 7:30 pm – 8:00 pm NEW MEMBER RECEPTION Grand Ballroom (3rd Floor) 8:00 pm – 11:00 pm SOCIAL MIXER AND POSTER SESSION Grand Ballroom (3rd Floor)

1. Posters: Invited Poster Session

2. Posters: Clinical Trials and Study Design

3. Posters: Bayesian Methods

4. Posters: Statistical Genetics and Genomics

5. Posters: Prediction, Prognostics, Diagnostic Testing

6. Posters: Survival Analysis

7. Posters: Imaging, High Dimensional Data, Biomarkers, and Microarray

8. Posters: Environmental and Longitudinal Data Analysis

9. Posters: Epidemiology and Causal Inference

10. Posters: Non Parametric and Non Linear Methods

11. Posters: Variable Selection, Machine Learning and Other

28 ENAR 2014 | SPRING MEETING | MARCH 16–19 Monday, March 17 7:30 am – 5:00 pm Conference Registration Grand Ballroom (3rd Floor) 7:30 am – 5:00 pm Speaker Ready Room Boardroom (3rd Floor) 8:30 am – 5:30 pm Exhibits Open Grand Ballroom Foyer (3rd Floor) 8:30 am – 10:15 am TUTORIAL T1: Harborside A An Introduction to Comparative Effectiveness (4th Floor) Research SCIENTIFIC PROGRAM

12. Grand Ballroom I Massive Online Open Statistics (MOOS): Should (3rd Floor) we be Teaching Statistics to 100,000s of Thousands at a Time?

13. Grand Ballroom V Council for Emerging and New Statisticians (CENS) (3rd Floor) Invited Session: Should I do a PostDoc?

14. Grand Ballroom II Adaptive Randomized Trial Designs and Improved (3rd Floor) Analysis Methods to Learn which Subpopulations Benefit from which Treatments

15. Grand Ballroom VI Statistical Methods for Complex Structured (3rd Floor) Biomedical Object Data

16. Grand Ballroom III Multivariate Analysis in High Dimensions (3rd Floor)

17. Grand Ballroom IV Recent Advances in Lifetime Data Analysis (3rd Floor)

18. Atlantic Room Contributed Papers: Epidemiologic Methods (3rd Floor)

19. Bristol Room Contributed Papers: Computational Methods (3rd Floor) and Implementation

20. Grand Ballroom X Contributed Papers: Non-parametric and (3rd Floor) Semiparametric Methods in Functional Data Analysis

21. Grand Ballroom VII Contributed Papers: Statistical Methods for (3rd Floor) Microarray and Biomarker Data

PROGRAM 29 Monday, March 17 (continued) 22. Grand Ballroom IX Contributed Papers: Machine Learning (3rd Floor)

23. Chasseur Room Contributed Papers: Multiple Testing (3rd Floor)

24. Grand Ballroom VIII Contributed Papers: Methods for Statistical Genetics (3rd Floor) 9:30 am – 4:30 pm PLACEMENT SERVICE Waterview Rooms (Lobby Level) 10:15 am – 10:30 am Refreshment Break with Our Exhibitors Grand Ballroom Foyer (3rd Floor) 10:30 am – 12:15 pm TUTORIAL T2: Functional Data Analysis: Techniques and Harborside A Applications (4th Floor) SCIENTIFIC PROGRAM

25. Grand Ballroom II Statistical Innovations for Studying the Human (3rd Floor) Brain Function

26. Grand Ballroom VI Meta‐analysis of Gene‐environment Interaction (3rd Floor) in the Post‐GWAS Era

27. Grand Ballroom V Statistics Methods for High-Throughput Genomics (3rd Floor)

28. Grand Ballroom VIII Personalized Medicine: Better Treatment for the (3rd Floor) Patient or the Right Patient for the Treatment?

29. Grand Ballroom III Recent Advances in Statistical Methods for (3rd Floor) Meta-Analysis

30. Grand Ballroom IX Subgroup Analysis and Personalized Prediction (3rd Floor)

31. Grand Ballroom VII Latent Variable Modeling for Multiple Outcomes (3rd Floor) and Growth Models in Psychiatric Studies

32. Grand Ballroom I Contributed Papers: Bayesian Analysis of (3rd Floor) High Dimensional Data

33. Grand Ballroom IV Contributed Papers: Genetics and Epidemiologic (3rd Floor) Study Design

34. Grand Ballroom X Contributed Papers: Non-linear Models (3rd Floor)

30 ENAR 2014 | SPRING MEETING | MARCH 16–19 Monday, March 17 (continued) 35. Atlantic Room Contributed Papers: Survival Analysis for (3rd Floor) Clinical Trial Data

36. Bristol Room Contributed Papers: Clustered Data Methods (3rd Floor)

37. Chasseur Room Contributed Papers: Statistical Methods for (3rd Floor) Longitudinal Data 12:15 pm – 1:30 pm ROUNDTABLE LUNCHEONS Dover Rooms (3rd Floor) 12:30 pm – 4:30 pm REGIONAL ADVISORY BOARD (RAB) Falkland Room LUNCHEON MEETING (4th Floor) (by Invitation Only) 1:45 pm – 3:30 pm TUTORIAL T3: Harborside A Nonparametric Bayesian Data Analysis (4th Floor) SCIENTIFIC PROGRAM

38. Grand Ballroom VIII Recent Developments in Estimating the Health Effects (3rd Floor) of Air Pollution and Regulation

39. Grand Ballroom III Recent Advances in Casual Reference (3rd Floor)

40. Grand Ballroom II Social Network Data: Challenges and Opportunities (3rd Floor)

41. Grand Ballroom V Statistics and Computing for High-throughput (3rd Floor) Sequencing Data

42. Grand Ballroom I Variable Selection and Analysis of High (3rd Floor) Dimensional Data

43. Grand Ballroom VI Functional Data Analysis and its Applications (3rd Floor) in Genetics

44. Grand Ballroom IX Emerging Statistical Challenges with Complex (3rd Floor) Longitudinal or Functional Data

45. Grand Ballroom IV Contributed Papers: Genome Wide (3rd Floor) Association Studies

PROGRAM 31 Monday, March 17 (continued) 46. Atlantic Room Contributed Papers: Applications of Bayesian (3rd Floor) Methods

47. Grand Ballroom VII Contributed Papers: High Dimensional Data (3rd Floor)

48. Bristol Room Contributed Papers: Clinical Trials (3rd Floor)

49. Grand Ballroom X Contributed Papers: Personalized Medicine (3rd Floor) and Variable Subset Selection

50. Chasseur Room Contributed Papers: Analysis of Clustered Data (3rd Floor) 3:30 pm – 3:45 pm Refreshment Break with Our Exhibitors Grand Ballroom Foyer (3rd Floor) 3:45 pm – 5:30 pm TUTORIAL T4: Harborside A Quantile Regression for Survival Analysis (4th Floor) SCIENTIFIC PROGRAM

51. Grand Ballroom II The Role of Statistics in Shaping Public Policy (3rd Floor)

52. Grand Ballroom V Having it all: Weighting to Achieve Balance (3rd Floor)

53. Grand Ballroom VI Biostatistical Methods for Integrative Genomics (3rd Floor)

54. Grand Ballroom I Safety Surveillance Monitoring through Signal (3rd Floor) Detection

55. Grand Ballroom III Multiple Testing and Simultaneous Inferences (3rd Floor) in Complex Settings

32 ENAR 2014 | SPRING MEETING | MARCH 16–19 Monday, March 17 (continued) 56. Grand Ballroom IX New Developments in Bayesian Nonparametrics (3rd Floor)

57. Grand Ballroom VIII Contributed Papers: Statistical Genetics (3rd Floor) and Genomics

58. Grand Ballroom IV Contributed Papers: Imaging (3rd Floor)

59. Grand Ballroom VII Contributed Papers: Semi-Parametric and (3rd Floor) Non-Parametric Models in Survival Analysis

60. Atlantic Room Contributed Papers: Hierarchical Models (3rd Floor)

61. Grand Ballroom X Contributed Papers: Methods for Removing (3rd Floor) Selection Bias and Confounding

62. Bristol Room Contributed Papers: Functional Data Analysis (3rd Floor)

63. Chasseur Room Contributed Papers: Recent Advances in (3rd Floor) Bayesian Methods 5:30 pm – 6:30 pm CENS STUDENT MIXER Dover Room (3rd Floor) 6:00 pm – 7:30 pm PRESIDENT’S RECEPTION Laurel Room A (by Invitation Only) (4th Floor)

PROGRAM 33 Tuesday, March 18 7:30 am – 5:00 pm Conference Registration Grand Ballroom (3rd Floor) 7:30 am – 5:00 pm Speaker Ready Room Boardroom (3rd Floor) 9:30 am – 3:30 pm PLACEMENT SERVICE Waterview Rooms (Lobby Level) 8:30 am – 5:30 pm Exhibits Open Grand Ballroom Foyer (3rd Floor) 8:30 am – 10:15 am TUTORIAL T5: Dover Room An Introduction to High-Performance Computing (3rd Floor) with R SCIENTIFIC PROGRAM

64. Grand Ballroom VIII Statistical Learning for Complex Multivariate (3rd Floor) Biomedical Data

65. Harborside Room A Statistical Challenges in Studies of Environmental, (4th Floor) Reproductive and Perinatal Health

66. Grand Ballroom II New Developments in Statistical Methodologies (3rd Floor) for the Analysis of Disease Data

67. Harborside Room B Recent Development and Application of Bayesian (4th Floor) Methods for the Probability of Success and Decision Making in Clinical Trials

68. Grand Ballroom III Functional Data Analysis: Show Me the Data (3rd Floor)

69. Grand Ballroom IV Latent Class Models for Diagnostic Testing with (3rd Floor) Applications in Psychiatry

70. Grand Ballroom I Statistical Methods for Biomarker Evaluation (3rd Floor)

71. Grand Ballroom X Contributed Papers: Semi-Parametric and (3rd Floor) Non-Parametric Models

72. Bristol Room Contributed Papers: Joint Models for Longitudinal (3rd Floor) and Survival Data

73. Grand Ballroom VII Contributed Papers: Statistical Methods (3rd Floor) in Epidemiology

34 ENAR 2014 | SPRING MEETING | MARCH 16–19 Tuesday, March 18 (continued) 74. Atlantic Room Contributed Papers: Adaptive Designs and (3rd Floor) Randomization

75. Grand Ballroom IX Contributed Papers: Next Generation Sequencing (3rd Floor)

76. Chasseur Room Contributed Papers: Statistical Methods for Survival (3rd Floor) Analysis 10:15 am – 10:30 am Refreshment Break with Our Exhibitors Grand Ballroom Foyer (3rd Floor) 10:30 am – 12:15 pm 77. PRESIDENTIAL INVITED ADDRESS Grand Ballrooms V and VI (3rd Floor) 12:30 pm – 4:30 pm REGIONAL COMMITTEE MEETING James Room (by Invitation Only) (4th Floor) 1:45 pm – 3:30 pm TUTORIAL T6: Dover Room Causal Mediation Analysis (3rd Floor) SCIENTIFIC PROGRAM

78. Grand Ballroom VIII JABES Invited Session (3rd Floor)

79. Grand Ballroom III Recent Advances in Statistical Methods for Missing (3rd Floor) Data

80. Grand Ballroom II Big Data Methods in Biostatistics (3rd Floor)

81. Grand Ballroom IV Statistical Prediction Models for Medical Decision (3rd Floor) Making

82. Grand Ballroom V Recent Developments in Statistical Genetics, (3rd Floor) Genomics, and their Applications

83. Grand Ballroom VI Improved Statistical Modeling and Understanding (3rd Floor) of Gene Expression and Transcription Regulation using Next Generation Sequencing and Other High Throughput Technologies

84. Grand Ballroom VII Statistical Challenges in Public Health Research (3rd Floor) at the CDC

PROGRAM 35 Tuesday, March 18 (continued) 85. Grand Ballroom I Innovative Bayesian Nonparametrics in Biostatistics (3rd Floor)

86. Grand Ballroom X Contributed Papers: New Developments in Survival (3rd Floor) Analysis

87. Atlantic Room Contributed Papers: Causal Inference (3rd Floor)

88. Bristol Room Contributed Papers: Non-Parametric Analysis of (3rd Floor) Biomedical Data

89. Grand Ballroom IX Contributed Papers: High Dimensional Imaging Data (3rd Floor)

90. Chasseur Room Contributed Papers: New Methods in Genomics (3rd Floor) 3:30 pm – 3:45 pm Refreshment Break with Our Exhibitors Grand Ballroom Foyer (3rd Floor) 3:45 pm – 5:30 pm TUTORIAL

T7: Dover Room Cure Models and Their Applications (3rd Floor) SCIENTIFIC PROGRAM

91. Grand Ballroom VI IMS Medallion Lecture (3rd Floor)

92. Grand Ballroom VII Parametric Or Nonparametric, Which Is The Answer? (3rd Floor)

93. Grand Ballroom II Causal Inference in High Dimensional Settings (3rd Floor)

94. Grand Ballroom III Advances in Time Series Analysis of Biomedical (3rd Floor) Signals

95. Grand Ballroom V Frontiers in Statistical Genetics for Complex (3rd Floor) Trait Association

96. Harborside Room A Functional Data Approaches to Neurological (4th Floor) and Mental Disease

36 ENAR 2014 | SPRING MEETING | MARCH 16–19 Tuesday, March 18 (continued) 97. Harborside Room B Modeling Neurological Diseases With Imaging Data (4th Floor)

98. Grand Ballroom I Making Sense of Sensors: Statistical Methods for (3rd Floor) Wearable Computing

99. Grand Ballroom IV Contributed Papers: Survival Analysis (3rd Floor)

100. Grand Ballroom VIII Contributed Papers: Personalized Medicine (3rd Floor)

101. Grand Ballroom IX Contributed Papers: Spatial Temporal Models (3rd Floor)

102. Grand Ballroom X Contributed Papers: Statistical Methods in (3rd Floor) Cancer Applications

103. Atlantic Room Contributed Papers: Diagnostic and Screening Tests (3rd Floor)

104. Bristol Room Contributed Papers: Statistical Methods for (3rd Floor) Biomarker Discovery 5:30 pm – 6:30 pm ENAR BUSINESS MEETING Bristol Room (Open to All ENAR Members) (3rd Floor) 6:30 pm – 10:00 pm Tuesday Night Event Please meet PROMPTLY at at the Baltimore Aquarium 6:15 pm in the hotel lobby (We will walk as a group to the aquarium)

PROGRAM 37 Wednesday, March 19 7:30 am – 12:00 pm Speaker Ready Room Boardroom (3rd Floor) 7:30 am – 9:00 am PLANNING COMMITTEE MEETING James Room (by Invitation Only) (4th Floor) 8:00 am – 12:30 pm Conference Registration Grand Ballroom Registration (3rd Floor) 8:00 am – 12:00 pm Exhibits Open Grand Ballroom Foyer (3rd Floor) 8:30 am – 10:15 am SCIENTIFIC PROGRAM

105. Grand Ballroom IX Modern Survival Analysis in Observational Studies (3rd Floor)

106. Grand Ballroom II Recent Development on Personalized Medicine (3rd Floor)

107. Grand Ballroom III Causal Inference in the Assessment of (3rd Floor) Surrogate Markers

108. Grand Ballroom VIII New Developments in Multiple Comparisons (3rd Floor) Procedures and Variable Selection

109. Grand Ballroom V Spatial Models and Dynamics Applied to (3rd Floor) Environmental Sciences and Public Health

110. Grand Ballroom VI Advances in Longitudinal studies for Predicting (3rd Floor) Clinical Outcomes

111. Atlantic Room Contributed Papers: New Developments in (3rd Floor) Education, Consulting, and Health Policy

112. Grand Ballroom I Contributed Papers: Latest Advances in (3rd Floor) Functional and Imaging Data Analysis

113. Grand Ballroom IV Contributed Papers: Bayesian Methods (3rd Floor)

114. Grand Ballroom VII Contributed Papers: Multivariate Survival Analysis (3rd Floor)

115. Grand Ballroom X Contributed Papers: Statistical Analysis (3rd Floor) in the Presence of Missing Data

116. Bristol Room Contributed Papers: Tools for Longitudinal (3rd Floor) Data Analysis

117. Chasseur Room Contributed Papers: Analysis of Data from (3rd Floor) Clinical Trials 38 ENAR 2014 | SPRING MEETING | MARCH 16–19 Wednesday, March 19 (continued) 10:15 am – 10:30 am Refreshment Break with Our Exhibitors Grand Ballroom Foyer (3rd Floor) 10:30 am – 12:15 pm SCIENTIFIC PROGRAM

118. Grand Ballroom V Human Health and Environmental Statistics at the (3rd Floor) U.S. EPA’s Office of Research and Development

119. Grand Ballroom III Power Analysis for Mixed Models: Where We Stand (3rd Floor)

120. Grand Ballroom II New Developments in Estimating Causal Effects (3rd Floor) of Time-varying Treatments

121. Grand Ballroom VI Inside the Biostatistical Collaborative Process (3rd Floor)

122. Atlantic Room Contributed Papers: Non-Parametric Methods (3rd Floor)

123. Chasseur Room Contributed Papers: Variable Subset Selection (3rd Floor)

124. Grand Ballroom VIII Contributed Papers: High Dimensional Data in (3rd Floor) Genetics and Genomics

125. Grand Ballroom IV Contributed Papers: Tools for Survival Analysis (3rd Floor)

126. Grand Ballroom I Contributed Papers: Meta-Analysis (3rd Floor)

127. Grand Ballroom X Contributed Papers: Statistical Methods for (3rd Floor) Handling Missing Data

128. Bristol Room Contributed Papers: Longitudinal Data Analysis (3rd Floor)

129. Grand Ballroom VII Contributed Papers: Prediction and Prognostic (3rd Floor) Modeling

130. Grand Ballroom IX Contributed Papers: New Methods for GWAS (3rd Floor)

* = Presenter | n = Student Award Winner PROGRAM 39 SCIENTIFIC PROGRAM

1E. Spatial Quantile Regression for Neuroimaging Data Sunday, March 16 Linglong Kong*, University of Alberta 8:00 – 11:00 pm Hongtu Zhu, University of North Carolina, Chapel Hill 1F. Enhancements for Model-based Clustering of Array-based DNA Methylation Data POSTER PRESENTATIONS Devin C. Koestler*, University of Kansas Medical Center Grand Ballroom (3rd Floor) Andres Houseman, Oregon State University Carmen J. Marsit and Brock C. Christensen, Dartmouth College CANCELLED 1. INVITED POSTER SESSION Sponsor: ENAR 1G. Disease Surveillance using Dynamic Screening System 1A. SuBLIME and OASIS for Multiple Sclerosis Lesion Peihua Qiu*, University of Florida Segmentation in Structural MRI Elizabeth M. Sweeney*, Johns Hopkins Bloomberg School 1H. Heat Kernel Wavelets on Manifolds and its of Public Health Application to Brain Imaging Russell T. Shinohara, University of Pennsylvania Moo K. Chung*, University of Wisconsin, Madison Ciprian M. Crainiceanu, Johns Hopkins Bloomberg School of Public Health 1I. Data Visualizations Should be More Interactive 1B. Elastic Statistical Shape Analysis of 3D Objects Karl W. Broman*, University of Wisconsin, Madison using Square Root Normal Fields Sebastian Kurtek*, The Ohio State University 1J. Introducing the Evolving Evolutionary Spectrum, with Applications to a Learning Association Study 1C. Epidemiological Models for Browser-Based Mark Fiecas*, University of Warwick Malware Natallia Katenka*, University of Rhode Island 1K. Improving Rare Variant Association Test with Eric Kolaczyk and Mark Crovella, Boston University Prior Information Tom Britton, Stockholm University Xin He* and Li Liu, Carnegie Mellon University Bernie Devlin, University of Pittsburgh School of Medicine 1D. Meta-analysis of Rare Variants Based on Kathryn Roeder, Carnegie Mellon University Single-variant Statistics Yijuan Hu*, Emory University Sonja I. Berndt, National Cancer Institute, National Institutes of Health Stefan Gustafsson and Andrea Ganna, Uppsala University Hospital Joel Hirschhorn, Boston Children’s Hospital Kari E. North, University of North Carolina, Chapel Hill Erik Ingelsson, Uppsala University Hospital Danyu Lin, University of North Carolina, Chapel Hill

* = Presenter | n = Student Award Winner 40 ENAR 2014 | SPRING MEETING | MARCH 16–19 2. POSTERS: CLINICAL TRIALS AND STUDY DESIGN 2J. CoGaussian Statistical Model for Right Skewed Data Govind Mudholkar and Ziji Yu*, University of Rochester Sponsor: ENAR Saria Awadalla, University of Illinois, Chicago 2A. A New Statistical Test of Heterogeneity in Treatment Response 2K. Use of Historical Data in Clinical Trials Hongbo Lin* and Changyu Shen, Indiana University, Kert Viele*, Berry Consultants Indianapolis

2B. Comparing Methods of Tuning Adaptively Randomized Trials 3. POSTERS: BAYESIAN METHODS John Cook, Yining Du* and Jack Lee, University of Texas Sponsor: ENAR MD Anderson Cancer Center 3A. A Bayesian Approach to ROC Curve Estimation using Conditional Means Priors 2C. Multi-regional Issues in Equivalence Assessment of Test and References Jack S. Knorr* and John W. Seaman, Baylor University Yi Tsong*, U.S. Food and Drug Administration 3B. Benchmark Dose Model Averaging in Toxicology 2D. Statistical Methods for Analyzing Count Data — A Otis R. Evans*, University of North Carolina, Wilmington Case Study on Adverse Event Data from Vaccine Trials Qin Jiang*, Pfizer Inc. 3C. Dirichlet Process Mixture Extension Model to Accommodate Complex Sample Designs for Linear and Quantile Regression 2E. An Alternate Study Design Approach for Multilevel Counts Subject to Overdispersion, with Illustrations Xi Xia* and Michael Elliott, University of Michigan Reflective of a Motivating Cluster-randomized Community Trial 3D. On Bayesian Model Selection for Robust Kenneth J. Wilkins*, National Institute of Diabetes and Likelihood-free Methods based on Moment Digestive and Kidney Diseases, National Institutes of Health Conditions and Uniformed Services University of the Health Sciences Cheng Li* and Wenxin Jiang, Northwestern University Shweta Padmanaban, Georgetown University Stephanie M. Rodriguez, Uniformed Services University 3E. Robustness of Multilevel Item Response Theory of the Health Sciences Model to Outliers using Normal/Independent Distribution on both Random Effects and Outcomes 2 F. Leveraging Baseline Variables to Improve Geng Chen* and Sheng Luo, University of Texas School Estimators of the Average Treatment Effect of Public Health in Randomized Trials Elizabeth A. Colantuoni* and Michael Rosenblum, 3F. Bayesian Sample Size Determination for Johns Hopkins Bloomberg School of Public Health Informative Hypotheses Kristen M. Tecson* and John W. Seaman, Baylor University 2G. Identifying Comparable Populations using Entropy Matching: The Comparison of Drug Effectiveness 3G. Block Total Response Designs: A Bayesian between Clinical Trials and EMRs Approach Haoda Fu, Eli Lilly and Company Michelle S. Marcovitz*, Baylor University Jin Zhou*, University of Arizona Damaraju Raghavarao, Temple University John W. Seaman, Baylor University 2H. Re-estimating Sample Size in a Randomized Clinical Trial using Participant Compliance Data 3H. Priors and Sample Size Determination for Peter D. Merrill* and Leslie A. McClure, Hurdle Models University of Alabama, Birmingham Joyce Cheng*, John W. Seaman and David Kahle, Baylor University 2I. Variable Group Sizes in Cluster Randomized Trials Reduces Power 3I. Bayesian Models for Facility-level Adverse Medical Stephen A. Lauer* and Nicholas G. Reich, University Device Event Rates among Hospitalized Children of Massachusetts, Amherst Laura A. Hatfield* and Vanessa Azzone, Ken P. Kleinman, Harvard Medical School and Harvard Harvard Medical School Pilgrim Health Care Institute Sharon-Lise T. Normand, Harvard Medical School and Harvard School of Public Health

* = Presenter | n = Student Award Winner PROGRAM 41 3J. Group Comparison of Pulsatile Hormone 4. POSTERS: STATISTICAL GENETICS Times Series TingTing Lu* and Timothy D. Johnson, AND GENOMICS University of Michigan Sponsor: ENAR

3K. A Bayesian Approach to Detecting Changes 4A. LDA Topic Model of an Unknown Number in the Visual System of Topics via MCMC Zhe Chen* and Hani Doss, University of Florida Raymond G. Hoffmann* and Edgar A. Deyoe, Medical College of Wisconsin 4B. Controlling the Local False Discovery Rate 3L. A Comparison of MCMC and Variational Bayes in the Adaptive Lasso Algorithms for 3D Log-Gaussian Cox Processes Joshua N. Sampson* and Nilanjan Chatterjee, National Cancer Institute, National Institutes of Health Ming Teng*, University of Michigan Raymond Carroll, Texas A&M University Farouk S. Nathoo, University of Victoria Samuel Muller, University of Sydney Timothy D. Johnson, University of Michigan

3M. A Bayesian Hierarchical Model for Estimating 4C. Integrated Analysis of MicroRNA and HIV Testing Hazard Messenger RNA Expression Profiles of Essential Thrombocytosis Qian An* and Jian Kang, Emory University Erya Huang*, Wei Zhu, Dmitri V. Gnatenko and Wadie F. Bahou, Stony Brook University 3N. Bayesian Inference of the Asymmetric Laplace Distribution with Partial Information The Power Comparison of the Haplotype-based Shiyi Tu*, Min Wang and Xiaoqian Sun, 4D. Collapsing Tests and the Variant-based Collapsing Clemson University Tests for Detecting Rare Variants in Pedigrees Wei Guo* and Yin Yao Shugart, National Institute of 3O. An Efficient Bayesian Sampling Approach for Mental Health, National Institutes of Health Continuous Bayesian Network Structure Learning Shengtong Han* and Hongmei Zhang, Functional Normalization (FunNorm): University of Memphis 4E. A Better Alternative to Quantile Normalization for Methylation Data 3 P. Two-sample Empirical Likelihood based Jean-Philippe Fortin*, Johns Hopkins University Tests for Mean: From Frequentists to Bayesian Aurélie Labbe, McGill University Type Techniques with Applications to Mathieu Lemire, University of Toronto Case-control Studies Brent W. Zanke, Ottawa Hospital Research Institute Ge Tao* and Albert Vexler, Thomas J. Hudson, University of Toronto State University of New York at Buffalo Elana J. Fertig, Sidney Kimmel Cancer Center at Johns Hopkins University 3Q. Bayes Regularized Graphical Model Estimation Celia M.T. Greenwood, McGill University in High Dimensions Kasper D. Hansen, Johns Hopkins University Suprateek Kundu* and Bani Mallick, Texas A&M University 4F. MetaOC: Meta-analysis with One-sided Correction Amin Momin and Veera Baladandayuthapani, to Detect Differentially Expressed Genes with University of Texas MD Anderson Cancer Research Center Concordant Direction Xingbin Wang*, M. Ilyas Kamboh and George C. Tseng, University of Pittsburgh

4G. Normalization of DNA Methylation Microarrays using Technical Covariates Paul T. Manser* and Mark Reimers, Virginia Commonwealth University

4H. Sequence Kernel Association Test for Quantitative Traits in Twin Samples Kai Xia*, Wonil Chung, Zhaoyu Yin, Rebecca C. Santelli and Fei Zou, University of North Carolina, Chapel Hill

4I. An Alternative Approach to Model RNA-seq Data with GLMM Han Sun*, Cleveland Clinic Jiayang Sun, Case Western Reserve University

* = Presenter | n = Student Award Winner 42 ENAR 2014 | SPRING MEETING | MARCH 16–19 4J. Classifying Family Relationships using Dense 5. POSTERS: PREDICTION, PROGNOSTICS, SNP Data and Putative Pedigree Information Zhen Zeng* and Eleanor Feingold, DIAGNOSTIC TESTING University of Pittsburgh Sponsor: ENAR

4K. Identifying Multiple-Role Genes Dynamic in 5A. Joint Confidence Region Estimation for Area Under Distinct Environments ROC Curve and Youden Index Jingjing Yin* and Lili Tian, University at Buffalo Yaqun Wang*, Ningtao Wang, Han Hao and Rongling Wu, The Pennsylvania State University 5B. Building Risk Models with Calibrated Margins 4L. ChIP-seq Meta-Caller: An Assembly Method to Paige Maas*, National Cancer Institute, National Combine Multiple ChIP-seq Peak Callers to Identify Institutes of Health and Reprioritize the Peaks Raymond Carroll, Texas A&M University Nilanjan Chatterjee, National Cancer Institute, Rui Chen*, University of Pittsburgh National Institutes of Health Qunhua Li, The Pennsylvania State University George C. Tseng, University of Pittsburgh 5C. Meta-TSP: A Meta-analysis Framework of 4M. Fast Annotation-Agnostic Differential Top Scoring Pair Algorithm to Combine Expression Analysis Multiple Transcriptomic Studies in Inter-study Prediction Analysis Leonardo Collado-Torres*, Johns Hopkins University SungHwan Kim* and George C. Tseng, Bloomberg School of Public Health and Maltz Research University of Pittsburgh Laboratories Andrew E. Jaffe, Maltz Research Laboratories Jeffrey T. Leek, Johns Hopkins University Bloomberg 5D. A Modified Tree-Based Method for Personalized School of Public Health Medicine Decisions Wan-Min Tsai*, Heping Zhang, Stephanie O’Malley 4N. Sample Size and Power Determination for and Ralitza Gueorguieva, Yale University Association Tests in Case-parent Trio Studies Holger Schwender*, Heinrich Heine University Duesseldorf 5E. A Simple Method for Evaluating Within-Sample Christoph Neumann, TU Dortmund University Prognostic Balance Achieved by Published Margaret A. Taub, Samuel G. Younkin, Terri H. Beaty and Comorbidity Summary Measures Ingo Ruczinski, Johns Hopkins University Brian L. Egleston*, Robert G. Uzzo, J. Robert Beck and Yu-Ning Wong, Fox Chase Cancer Center, Temple 4O. A Hierarchical Bayesian Approach to Detect University Health System Differential Methylation in Both Mean and Variance for Next Generation Sequencing 5F. Effect Size Measures for Functional Modifiers of Shuang Li*, Varghese George, Duchwan Ryu, Treatment Response Xiaoling Wang, Shaoyong Su and Huidong Shi, Adam Ciarleglio*, New York University School of Medicine Georgia Regents University Robert H. Podolsky, Wayne State University 5G. Power Calculations for Prognostic Biomarker Hongyan Xu, Georgia Regents University Validation Studies with Time to Event Data Marshall D. Brown* and Yingye Zheng, Fred Hutchinson 4 P. Bayesian Mixture Models for Complex Copy Number Cancer Research Center Polymorphisms Inferred from Genotyping Arrays Tianxi Cai, Harvard School of Public Health Stephen Cristiano*, Robert B. Scharpf and Lynn Mireless, Johns Hopkins University 5H. Generalized Incremental Forward Stagewise Ordinal Models: Application Predicting Stage 4Q. Multiple Phenotype Analysis for Genome-Wide of Alzheimer’s Disease Association Studies Kellie J. Archer* and Jiayi Hou, Virginia Commonwealth Shelley Liu*, Harvard School of Public Health University Sheng Feng, Biogen-Idec

4R. EBSeq-HMM: An Empirical Bayes Hidden Markov Model for Ordered RNA-seq Experiments Ning Leng*, University of Wisconsin, Madison Brian E. Mcintosh, Morgridge Institute for Research Yuan Li, University of Wisconsin, Madison Bao K. Nguyen, Bret Duffin, Shulan Tian, James A. Thomson and Ron Stewart, Morgridge Institute for Research Christina Kendziorski, University of Wisconsin, Madison * = Presenter | n = Student Award Winner PROGRAM 43 6. POSTERS: SURVIVAL ANALYSIS 7D. C.Logic: A Classification Algorithm for Discovering Interactions that Lead to Disease Susceptibility Sponsor: ENAR Sybil L. Nelson*, Bethany Wolf and 6A. Non-parametric Confidence Bands for Survival Viswanathan Ramakrishnan, Function using Martingale Method Medical University of South Carolina Eun-Joo Lee*, Millikin University 7E. A Direct Approach to False Discovery 6B. On the Estimators and Tests for the Semiparametric Rate Regression Hazards Regression Model Simina M. Boca*, National Cancer Institute, National Institutes of Health Seung-Hwan Lee*, Illinois Wesleyan University Jeffrey T. Leek, Johns Hopkins Bloomberg School of Public Health 6C. Regression Analysis of Bivariate Current Status Data with the Proportional Hazards Model and Bernstein Polynomials 7F. A Study of the Correlation Structure of Microarray Tao Hu, Capital Normal University Gene Expression Data Based on Mechanistic Qingning Zhou* and Jianguo Sun, University of Missouri, Modelling of Cell Population Kinetics Columbia Linlin Chen*, Rochester Institute of Technology Lev Klebnov, Charles University Anthony Almudevar and Christoph Proschel, 6D. Joint Structure Selection and Estimation in the University of Rochester Time-varying Coefficient Cox Model Wei Xiao* and Wenbin Lu, North Carolina State University Hao Helen Zhang, University of Arizona 7G. Making Computerized Adaptive Testing a Diagnostic Tool Hua-Hua Chang*, University of Illinois, Urbana-Champaign 6E. Weighted Log-rank Tests for ‘Flipped-Data’ Ya-Hui Su, National Chung Cheng University Survival Analysis of Data with Non-Detects Eric R. Siegel*, Songthip T. Ounpraseuth and Ralph L. Kodell, University of Arkansas 7H. Missing Value Imputation in High-dimensional for Medical Sciences Phenomic Data: Imputable or Not? And How? Serena Liao* and George C. Tseng, University of Pittsburgh 6F. A Frailty Approach for Survival Analysis with Error-prone Covariate Sehee Kim* and Yi Li, University of Michigan 7I. Age Prediction using Supervised PCA Donna Spiegelman, Harvard School of Public Health Valerie J. Watkins* and Yishi Wang, University of North Carolina, Wilmington 6G. LC-Morph: A Morphological Image Signature for Predicting Lung Cancer Survival 7J. Tensor Regression with Applications in Yuchen Yang*, Fuyong Xing, Hai Su, Chi Wang, Li Chen, Neuroimaging Data Analysis Lin Yang and Arnolod Stromberg, University of Kentucky Xiaoshan Li*, Hua Zhou and Lexin Li, North Carolina State University

7. POSTERS: IMAGING, HIGH DIMENSIONAL DATA, 7K. Investigating Spatiotemporal Covariance Structures for Modeling Longitudinal Imaging Data BIOMARKERS, AND MICROARRAY Brandon J. George* and Inmaculada Aban, Sponsor: ENAR University of Alabama, Birmingham

7A. On the Distribution of Photon Counts 7L. Nonparametric Regression with with Censoring in Two-Photon Microscopy Tree-structured Response Burcin Simsek* and Satish Iyengar, Yuan Wang*, University of Texas MD Anderson University of Pittsburgh Cancer Center David Kleinfeld, University of California, San Diego J. S. Marron, University of North Carolina, Chapel Hill Haonan Wang, Colorado State University 7B. Bayesian Gaussian Process Regression for Burcu Aydin, Alim Ladha and Elizabeth Bullitt, High-dimensional Data University of North Carolina, Chapel Hill Qing He*, Jian Kang and Qi Long, Emory University 7M. Improving Scan-Rescan Reliability of Resting 7C. Effects of Alcohol use on Brain Networks: State fMRI Parcellation A Dynamic Causal Model Study with EEG Data Amanda Mejia*, Johns Hopkins School of Public Health Benjamin T. Brown*, Lynn Eberly, Steve Malone and Mary Beth Nebel and Stewart Mostofsky, Kennedy Kathleen Thomas, University of Minnesota Krieger Institute Brian Caffo and Martin Lindquist, Johns Hopkins School of Public Health * = Presenter | n = Student Award Winner 44 ENAR 2014 | SPRING MEETING | MARCH 16–19 7N. SGPP: Spatial Gaussian Predictive Process Models 8G. Identifying the Constellation of Emergency for Neuroimaging Data Health Conditions most Sensitive to Extreme Heat Jung Won Hyun* and Yimei Li, St. Jude Children’s Jennifer Bobb*, Harvard School of Public Health Research Hospital John H. Gilmore, Zhaohua Lu, Martin Styner 8H. Statistical Strategies for Constructing and Hongtu Zhu, University of North Carolina, Chapel Hill Health Risk Models with Multiple Pollutants and their Interactions 7O. Dimension Reduction using Inverse Zhichao Sun*, Yebin Tao, Shi Li, Kelly K. Ferguson, Spline Regression John D. Meeker, Sung Kyun Park, Stuart A. Batterman Kijoeng Nam, U.S. Food and Drug Administration and Bhramar Mukherjee, University of Michigan Paul J. Smith, University of Maryland, College Park 8I. Mixed Effects Models for Investigating 7 P. Interpreting Large Dense (Scary) Linear Models Dietary Regimens Intended to Extend Lifespan along Predictor Groups in Caenorhabditis Elegans Yuval Benjamini*, Stanford University Jeffrey Burton*, Robbie Beyl, Jolene Zheng Julien Mairal, INRIA, Grenoble and William D. Johnson, Pennington Biomedical Bin Yu, University of California, Berkeley Research Center

8J. Simulation from a known Cox MSM using Standard Parametric Models for the g-formula 8. POSTERS: ENVIRONMENTAL AND LONGITUDINAL Jessica G. Young* and Eric J. Tchetgen Tchetgen, DATA ANALYSIS Harvard School of Public Health Sponsor: ENAR 8K. Reflecting the Orientation of Teeth in Random 8A. Accounting for Complex Survey Design Effects Models for Periodontal Outcomes in Modeling Temporal Trends of Phthalate Rong Xia* and Thomas M. Braun, University of Michigan Metabolites in the U.S. Population Min Chen*, Kevin Kransler, Rosemary Zaleski 8L. A Longitudinal Beta-binomial Model for and Hua Qian, ExxonMobil Biomedical Sciences, Inc. Over-dispersed Binomial Data Hongqian Wu* and Ying Zhang, University of Iowa 8B. Non-stationary Covariance Functions via Domain Segmentation Douglas C. Hom*, Timothy D. Johnson and Veronica J. Berrocal, University of Michigan 9. POSTERS: EPIDEMIOLOGY AND CAUSAL INFERENCE 8C. The Effect of Exposure to Air Toxics on Age of Sponsor: ENAR Diagnosis and Subtype of Childhood Leukemia — A Joint Modeling Approach 9A. Methods of Missing-Data Exploration that Reveal Ting-Yu Chen*, Elaine Symanski and Wenyaw Chan, Potential Extrapolation University of Texas School of Public Health Victoria Liublinska*, Harvard University

8D. Investigating the Health Risks Associated 9B. Exploring Mobile Technology to Enhance with Long Term Exposure to Coarse PM Birth Outcomes in Rural Mozambique: Helen L. Powell* and Roger D. Peng, Pilot Study Results Johns Hopkins Bloomberg School of Public Health Manoj T. Rema*, Ike Okosun and Sheryl Strasser, Georgia State University 8E. Functional Data Analysis to Guide a Conditional Likelihood Regression in a Case-Crossover Study 9C. Transformations to the Zero-inflated Negative Investigating whether Social Characteristics Modify Binominal Model for Overall Exposure Effects: the Health Effects of Air Pollution An Analysis of Blood Lead and Dental Caries Juana M. Herrera*, Joan Staniswalis and Sara E. Grineski, in a Complex Survey University of Texas, El Paso D. Leann Long* and R. Constance Wiener, West Virginia University 8F. Dependence Modeling of Spatio-Temporal Weather Extreme Events 9D. Applying Multiple Imputation using External Whitney Huang* and Hao Zhang, Purdue University Calibration to Propensity Score Methods Yenny G. Webb-Vargas* and Elizabeth A. Stuart, Johns Hopkins Bloomberg School of Public Health

* = Presenter | n = Student Award Winner PROGRAM 45 9E. Efficient Estimation of Partial Rank-based 10J. Covariate-dependent Functional Inference for Correlation with Missing Data the Life-time Circadian Rhythm of Physical Activity Wei Ding* and Peter X.K Song, University of Michigan Luo Xiao*, Lei Huang and Ciprian Crainiceanu, Johns Hopkins Bloomberg School of Public Health 9F. Data Analysis of Contributing Factors for Obesity in Low-Income Neighborhoods Sujin Kim* and Rukmana Deden, Savannah 11. POSTERS: VARIABLE SELECTION, State University MACHINE LEARNING AND OTHER Sponsor: ENAR 11A. An Extended Beta Regression Model 10. POSTERS: NON PARAMETRIC AND Min Yi* and Nancy Flournoy, University of Missouri, NON LINEAR METHODS Columbia Sponsor: ENAR 11B. Model-Adjusted Standardization to Account 10A. Comparison of Area Under the Curve and Mixed for Unmeasured Cluster-Level Covariates with Effects Models Methodologies for Profile Analysis Complex Survey Data Robbie A. Beyl*, Jeffrey Burton and William Johnson, Zhuangyu Cai* and Babette Brumback, University Pennington Biomedical Research Center of Florida

10B. Inferential Approaches to Relative Risk Regression 11C. A New Multiple Comparisons with the Yi Lu* and Daniel O. Scharfstein, Johns Hopkins Best Procedure Bloomberg School of Public Health Tianshuang Wu* and Susan Murphy, University of Michigan 10C. Fractional Polynomial Regression with Multilevel Data 11D. Mixture of D-vine Copulas for Modeling Paul Kolm*, Daniel Elliot and Joann Brice, Christiana Dependence Care Health System Daeyoung Kim, Sungkyunkwan University, Korea Robert Young, Northwestern University Jong-Min Kim, University of Minnesota, Morris Shu-Min Liao, Amherst College 10D. BLUP Estimation in Unbalanced Yoonsung Jung*, Prairie View A&M University Mixed-Effects Models Samaradasa Weerahandi, Pfizer Inc. 11E. Ensemble Variable Selection and Estimation (EVE) Peijin Xie, Hershey’s Company Sunyoung Shin*, Yufeng Liu and Jason Fine, Ching-Ray Yu and Kelly H. Zou*, Pfizer Inc. University of North Carolina, Chapel Hill

10E. Flexible Test for Interactions in Smoothing 11F. Support Vector Classifiers and Missing Data: Spline ANOVA Models through the Use of An Investigation of the Complete-Case Solution Distance Correlation and a Proposal of an EM-like Solution Sebastian J. Teran Hidalgo*, Michael Wu and Thomas G. Stewart*, Donglin Zeng and Michael C. Wu, Michael Kosorok, University of North Carolina, Chapel Hill University of North Carolina, Chapel Hill

10F. Optimal Global Test for Functional Linear 11G. Evaluating Novel Intradialytic Sampling Regression Models and its Applications Designs for Individual Pharmacokinetic Xiao Wang and Simeng Qu*, Purdue University Analysis using Monte Carlo Simulation Minchun Zhou*, William Henry Fissell 10G. Model Tumor Pattern and Compare and Matthew Stephen Shotwell, Vanderbilt University Treatment Effects using Semiparametric Linear Mixed-Effects Models 11H. A Study on the Statistical Properties of the Changming Xia*, University of Rochester European Pharmacopoeia Test for Uniformity Jianrong Wu, St. Jude Children’s Research Hospital of Dosage Units using Large Sample Sizes Hua Liang, The George Washington University Meiyu Shen*, Yi Tsong and Xiaoyu Dong, U.S. Food and Drug Administration 10H. Robust Variance Component Analysis with Applications in Biological Assay Validation 11I. Variable Selection When Some Predictors are Binbing Yu*, MedImmune, LLC. Measured with Error Guangning Xu* and Leonard A. Stefanski, North Carolina 10I. Oracle Inference for GMM Models State University Mihai C. Giurcanu* and Brett D. Presnell, University of Florida

* = Presenter | n = Student Award Winner 46 ENAR 2014 | SPRING MEETING | MARCH 16–19 11J. Variable Selection for Optimal Treatment Regimes 13. COUNCIL FOR EMERGING AND NEW Na Zhang*, Eric Laber and Howard Bondell, North Carolina State University STATISTICIANS (CENS) INVITED SESSION: SHOULD I DO A POSTDOC? 11K. Promoting Similarity of Model Sparsity Structures in Integrative Analysis Grand Ballroom V (3rd Floor) Yuan Huang* and Runze Li, The Pennsylvania Sponsors: ENAR, ASA Mental Health Statistics Section State University Organizer: Tapan Mehta, University of Alabama, Birmingham Jian Huang, University of Iowa Shuangge Ma, Yale University Chair: Naomi Brownstein, Florida State University 8:30 My Experiences as a Postdoc in Biostatistics Monday, March 17 Joshua Warren*, University of North Carolina, Chapel Hill 8:30 am – 10:15 a.m. 9:00 Is Post-Doctoral Fellowship Key to Academic Success? 12. MASSIVE ONLINE OPEN STATISTICS (MOOS): Hemant K. Tiwari*, University of Alabama, Birmingham SHOULD WE BE TEACHING STATISTICS TO 9:30 100,000 AT A TIME? Should I do a Post-Doctoral Fellowship? Grand Ballroom I (3rd Floor) The NICHD Experience Sponsors: ENAR, ASA Section on Statistical Education, Paul S. Albert*, Eunice Kennedy Shriver National ASA Statistical Learning and Data Mining Section Institute of Child Health and Human Development, National Institutes of Health Organizer: Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health 10:10 Chair: Brian Caffo, Johns Hopkins Bloomberg School Floor Discussion of Public Health 8:30 14. ADAPTIVE RANDOMIZED TRIAL DESIGNS MOOCs for Statistics and the Statistics of MOOCs Joseph Blitzstein*, Harvard University AND IMPROVED ANALYSIS METHODS TO LEARN WHICH SUBPOPULATIONS BENEFIT 8:55 FROM WHICH TREATMENTS Can We Teach 100,000 People Data Analysis at a Time? Grand Ballroom II (3rd Floor) Jeffrey T. Leek*, Sponsors: IMS, ASA Biometrics Section, Johns Hopkins Bloomberg School of Public Health ASA Biopharmaceutical Section Organizer: Michael Rosenblum, Johns Hopkins Bloomberg 9:20 School of Public Health Statistical Reasoning for the Masses Chair: Yi (Yvonne) Huang, Johns Hopkins Bloomberg School John McGready*, Johns Hopkins Bloomberg of Public Health School of Public Health 8:30 9:45 Impacts of Predictive Genomic Classifier Massive Online Open Statistics (MOOS): Should Performance on Subpopulation-Specific We be Teaching Statistics to 100,000 at a Time? Treatment Effects Assessment Rebecca Nugent*, Carnegie Mellon University Sue-Jane Wang*, U.S. Food and Drug Administration Ming-Chung Li, National Cancer Institute, National 10:10 Institutes of Health Floor Discussion 8:55 SHINE Shadow: A Bayesian Adaptive Trial vs. a Group Sequential Trial in Stroke Jason T. Connor* and Kristine R. Broglio, Berry Consultants Valerie L. Durkalski, Medical University of South Carolina

* = Presenter | n = Student Award Winner PROGRAM 47 9:20 16. MULTIVARIATE ANALYSIS IN HIGH DIMENSIONS Adaptive Enrichment Designs for Clinical Trials Noah Simon*, University of Washington Grand Ballroom III (3rd Floor) Richard Simon, National Cancer Institute, National Sponsor: IMS Institutes of Health Organizer: Adam Rothman, University of Minnesota

9:45 Chair: Mark Fiecas, University of Warwick, UK Constructing Confidence Sets for the 8:30 Optimal Regime Laplacian Shrinkage for Estimation of Inverse Sherri Rose*, Harvard University Covariance Matrices from Heterogenous Samples Tuo Zhao, Johns Hopkins University Takumi Saegusa and Ali Shojaie*, University of Han Liu, Princeton University Washington Michael Rosenblum, Johns Hopkins University 8:55 10:10 Joint Mean-Covariance Models for Incomplete Floor Discussion Multivariate Longitudinal Data Mohsen Pourahmadi*, Texas A&M University

15. STATISTICAL METHODS FOR COMPLEX 9:20 STRUCTURED BIOMEDICAL OBJECT DATA Prediction in Abundant High-dimensional Grand Ballroom VI (3rd Floor) Linear Regression Dennis Cook*, University of Minnesota Sponsors: ENAR, ASA Statistical Learning and Liliana Forzani, Instituto de Matem´atica Aplicada Data Mining Section del Litoral and Facultad de Ingenier´ıa Qu´ımica Organizer: Veera Baladandayuthapani, University of Texas CONICET and UNL MD Anderson Cancer Center Adam J. Rothman, University of Minnesota Chair: Veera Baladandayuthapani, University of Texas MD Anderson Cancer Center 9:45 Properties of Optimizations used in Penalized 8:30 Gaussian Likelihood Inverse Covariance Matrix Object Oriented Data Analysis: Backwards PCA Estimation J. S. Marron*, University of North Carolina, Chapel Hill Adam J. Rothman*, University of Minnesota Liliana Forzani, Instituto de Matem´atica Aplicada del 8:55 Litoral and Facultad de Ingenier´ıa Qu´mica CONICET Additive and Interaction Models for Nonparametric and UNL Functional and Object Regression, with Application to Ophthalmological Multi-level Functional Data on 10:10 Spherical Domains Floor Discussion Jeffrey S. Morris* and Veera Baladandayuthapani, University of Texas MD Anderson Cancer Center Massimo Fazio, University of Alabama, Birmingham 17. RECENT ADVANCES IN LIFETIME DATA ANALYSIS 9:20 On Synergy Between Statistical Shape Analysis Grand Ballroom IV (3rd Floor) (SSA) and Functional Data Analysis (FDA) Sponsor: ENAR Anuj Srivastava*, Florida State University Organizer: Mei-Ling Ting Lee, University of Maryland, Sebastian Kurtek, The Ohio State University College Park Eric Klassen, Florida State University Jingyong Su, Texas Tech University Chair: Xin He, University of Maryland, College Park 8:30 9:45 Bayesian Threshold Regression for Informatively Bayesian Spatial Functional Models for Censored Current Status Data High-dimensional Genomics Data Tao Xiao, University of Maryland, College Park and Veerabhadran Baladandayuthapani*, Lin Zhang, The Ohio State University Jeffrey Morris and Keith Baggerly, University of Texas Michael L. Pennell*, The Ohio State University MD Anderson Cancer Center

10:10 Floor Discussion

* = Presenter | n = Student Award Winner 48 ENAR 2014 | SPRING MEETING | MARCH 16–19 8:55 9:30 Semiparametric Estimation for the Quantifying Circadian Trajectory of Fatigability Additive Hazards Model with Left-truncated using the Proportional Intensity Model and Right-censored Data Jiawei Bai*, Jennifer Schrack and Mei-Cheng Wang, Chiung-Yu Huang*, Johns Hopkins University Johns Hopkins University Jing Qin, National Institute of Allergy and Infectious Luigi Ferrucci, National Institute of Aging, National Diseases, National Institutes of Health Institutes of Health Ciprian M. Crainiceanu, Johns Hopkins University 9:20 Semiparametric Inference on the Absolute 9:45 Risk Reduction and the Restricted Mean A Comparison of Methods for Biomarker Survival Difference Associations with Endogenous Treatment Song Yang*, National Heart, Lung, and Blood Institute, Andrew J. Spieker*, Joseph AC Delaney National Institutes of Health and Robyn L. McClelland, University of Washington

9:45 10:00 Evaluating Calibration of Risk Prediction Models Modeling Temporal Patterns in Exposure/Response Ruth Pfeiffer*, National Cancer Institute, National Relationships with Change Points, with an Institutes of Health Application to Incident Obstructive Airway Disease in Firefighters Exposed to the World Trade Center 10:10 Rescue/Recovery Effort Floor Discussion Charles B. Hall*, Albert Einstein College of Medicine of Yeshiva University Michelle Glaser, Mayris Webber, Xiaoxue Liu and 18. CONTRIBUTED PAPERS: EPIDEMIOLOGIC Rachel Zeig-Owens, Montefiore Medical Center METHODS David Prezant, Fire Department of the City of New York Atlantic Room (3rd Floor) Sponsor: ENAR 19. CONTRIBUTED PAPERS: COMPUTATIONAL Chair: Emily Mitchell, Eunice Kennedy Shriver National METHODS AND IMPLEMENTATION Institute of Child Health and Human Development, Bristol Room (3rd Floor) National Institutes of Health Sponsor: ENAR 8:30 Chair: Ruiwen Zhang, SAS Inc. Modeling Epidemiological Features of Disease Outbreaks 8:30 Manasi Sheth-Chandra*, Booz Allen Hamilton Performance of Shannon’s Maximum Entropy N. Rao Chaganty, Old Dominion University Distribution under Some Restrictions Sinan Saracli* and Hatice Cicek, Afyon Kocatepe 8:45 University A Stochastic Model for Explicit Estimation of Effect Modification in Finite Sample 8:45 Xiaoshan Wang* and Jacqueline Starr, Forsyth Institute Propensity Score Matching with Survival Outcomes: Critical Considerations in the 9:00 Choice of the Caliper Size Modeling the Effects of Climate Change and Air Adin-Cristian Andrei*, Zhi Li, S. Chris Malaisrie, Quality on Asthma, Accounting for Uncertainty Edwin McGee, Jane Kruse and Patrick M. McCarthy, Bluhm Cardiovascular Institute, Northwestern University Stacey E. Alexeeff*, Stephan R. Sain and Doug Nychka, National Center for Atmospheric Research 9:00 9:15 Model Free Variable Rank using Randomized One Novel Approach to Handle Random Decision Tree, an Ensemble of Trees Measurement Error using Hidden Markov Models Bong-Jin Choi* and Chris P. Tsokos, University of South Florida Lola Luo*, Dylan Small and Jason A. Roy, University of Pennsylvania

* = Presenter | n = Student Award Winner PROGRAM 49 9:15 9:45 Optimal Computational and Statistical Interaction Models for Functional Data Rates of Convergence for Sparse Nonconvex Joseph Usset*, Ana-Maria Staicu and Arnab Maity, Learning Problems North Carolina State University Zhaoran Wang* and Han Liu, Princeton University Tong Zhang, Rutgers University 10:00 A Novel Statistical Method based on Dynamic 9:30 Models for Classification A Modified EM Algorithm for Regression Analysis Lerong Li* and Momiao Xiong, University of Texas of Data with Non-ignorable Non-response School of Public Health, Houston Yang Zhang* and Gong Tang, University of Pittsburgh

9:45 21. CONTRIBUTED PAPERS: STATISTICAL METHODS A Computationally Fast and Asymptotically Efficient Approach for the Broken-stick Model FOR MICROARRAY AND BIOMARKER DATA Ritabrata Das*, Moulinath Banerjee and Bin Nan, Grand Ballroom VII (3rd Floor) University of Michigan Sponsor: ENAR Chair: Danping Liu, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes 20. CONTRIBUTED PAPERS: NON-PARAMETRIC of Health AND SEMIPARAMETRIC METHODS IN FUNCTIONAL DATA ANALYSIS 8:30 Modeling qRT-PCR Dynamics with Application Grand Ballroom X (3rd Floor) to Cancer Biomarkers Quantification Sponsor: ENAR Inna Chervoneva*, Thomas Jefferson University Chair: Adam Ciarleglio, NYU School of Medicine 8:45 8:30 Evaluation Drug Efficacy in the Presence Restricted Likelihood Ratio Tests for Linearity of the Imperfect Companion Diagnostic Device in Scalar-on-Function Regression Meijuan Li*, U.S. Food and Drug Administration Mathew W. McLean*, Texas A&M University Giles Hooker and David Ruppert, Cornell University 9:00 Joint Graphical Models for Relational Structures 8:45 in Multi-Dimensional Phenotypic Data Incorporating Covariates in Skewed Functional Vivian H. Shih*, Novartis Pharmaceuticals Data Models Catherine A. Sugar, University of California, Los Angeles Meng Li*, Ana-Maria Staicu and Howard D. Bondell, North Carolina State University 9:15 Sample Size Methods for Training Classifiers 9:00 Developed from Regularized Logistic Regression Simultaneous Inference for Repeated Sandra Safo*, Xiao Song and Kevin K. Dobbin, Functional Data University of Georgia Guanqun Cao*, Auburn University Lily Wang, University of Georgia 9:30 Bilaterally Contaminated Normal Model with 9:15 Nuisance Parameter and Its Applications Generalized Functional Concurrent Model Qian Fan*, University of Kentucky Janet S. Kim*, Arnab Maity and Ana-Maria Staicu, Hongying Dai, Children’s Mercy Hospital North Carolina State University Richard J. Charnigo, University of Kentucky

9:30 9:45 Variable-Domain Functional Regression Correlation Coefficient Inference for Left-Censored Jonathan E. Gellar n and Elizabeth Colantuoni, Biomarker Data with Known Detection Limits Johns Hopkins Bloomberg School of Public Health Courtney E. McCracken, Emory University Dale M. Needham, Johns Hopkins School of Medicine Stephen W. Looney*, Georgia Regents University Ciprian M. Crainiceanu, Johns Hopkins Bloomberg School of Public Health 10:00 A Semi-parametric Model for Time-dependent Predictive Accuracy Curves of Biomarkers Weining Shen*, Jing Ning and Ying Yuan, University of Texas MD Anderson Cancer Center * = Presenter | n = Student Award Winner 50 ENAR 2014 | SPRING MEETING | MARCH 16–19 22. CONTRIBUTED PAPERS: MACHINE LEARNING 23. CONTRIBUTED PAPERS: MULTIPLE TESTING Grand Ballroom IX (3rd Floor) Chasseur Ballroom (3rd Floor) Sponsor: ENAR Sponsor: ENAR Chair: Qing He, Emory University Chair: Simina M. Boca, National Cancer Institute, National Institutes of Health 8:30 Joint Estimation of Multiple Graphical Models 8:30 from High Dimensional Dependent Data Sizing Clinical Trials that Compare Two Huitong Qiu n and Fang Han, Johns Hopkins University Interventions using Two Time-to-Event Outcomes Han Liu, Princeton University Yuki Ando, Pharmaceuticals and Medical Devices Agency Brian S. Caffo, Johns Hopkins University Toshimitsu Hamasaki*, Osaka University Graduate School of Medicine and National Cerebral and Cardiovascular Center 8:45 Tomoyuki Sugimoto, Hirosaki University Graduate School MBACT - Multiclass Bayesian Additive of Science & Technology Classification Trees Scott R. Evans, Harvard School of Public Health Bereket P. Kindo*, Hao Wang and Edsel A. Pena, Yuko Ohno, Osaka University Graduate School of Medicine University of South Carolina 8:45 9:00 Multiple Simultaneous Tests for Noninferiority and Random Forest Importance Scores: Superiority: A Graphical Approach Significance Testing and Conditional Importance Heng Li and Vandana Mukhi*, Eric Bair* and Lira Pi, University of North Carolina, U.S. Food and Drug Administration Chapel Hill 9:00 9:15 Multiple Testing that Considers Assumptions Large-Margin Classifier Selection via Decision and Network Boundary Instability Demba Fofana*, E. O. George and Dale Bowman, Wei Sun* and Guang Cheng, Purdue University University of Memphis Yufeng Liu, University of North Carolina, Chapel Hill 9:15 9:30 Testing the Disjunction Hypothesis using Voronoi Bias Correction for Selecting the Minimal-error Diagrams, with Applications to Genetics Classifier from Many Machine Learning Models Daisy Phillips* and Debashis Ghosh, The Pennsylvania Ying Ding*, Shaowu Tang, Ge Liao, Jia Jia, Yan Lin State University and George C. Tseng, University of Pittsburgh 9:30 9:45 A Class of Improved Hybrid Hochberg-Hommel Ensemble Learning of Inverse Probability Type Step-Up Multiple Test Procedures Weights for Marginal Structural Modeling Jiangtao Gou* and Ajit C. Tamhane, Northwestern in Large Observational Datasets University Susan Gruber* and Roger W. Logan, Harvard School Dong Xi, Novartis Pharmaceuticals Corporation of Public Health Dror Rom, Prosoft Software, Inc. Inmaculada Jarrin and Susana Monge, Instituto de Salud Carlos III, Madrid, Spain 9:45 Miguel Hernan, Harvard School of Public Health Identifying Multiple Regulation Across a Diverse Set of Outcomes 10:00 Denis M. Agniel* and Tianxi Cai, Harvard University Ordinal Logic Forest: Discovering Interactions Among Binary Predictors for Classifying 10:00 Ordinal Responses Dorfman Testing with Correlated Responses Bethany J. Wolf* and Elizabeth G. Hill, Medical University Elena K. Bordonali*, Michael G. Hudgens and of South Carolina Bahjat F. Qaqish, University of North Carolina, Chapel Hill Elizabeth H. Slate, Florida State University

* = Presenter | n = Student Award Winner PROGRAM 51 24. CONTRIBUTED PAPERS: METHODS FOR 10:00 People Can’t See Statistical Significance: STATISTICAL GENETICS A Massive Randomized Trial on the Visual Grand Ballroom VIII (3rd Floor) Perception of Relationships Sponsor: ENAR Aaron Fisher*, Georgiana B. Anderson and Jeff Leek, Johns Hopkins Bloomberg School of Public Health Chair: Peng Wei, University of Texas School of Public Health

8:30 Fitting Generalized Linear Mixed Models to Family Data in Genetic Association Studies Monday, March 17 Tao Wang*, Peng He and Kwang Woo Ahn, Medical 10:15 am – 10:30 pm College of Wisconsin Xujing Wang, University of Alabama, Birmingham

Soumitra Ghosh, GlaxoSmithKline Refreshment Break with our Exhibitors Grand Ballroom Foyer (3rd Floor) Purushottam Laud, Medical College of Wisconsin

8:45 Kernel Methods for Regression Analysis of Microbiome Compositional Data Monday, March 17 Jun Chen*, Harvard School of Public Health 10:30 am – 12:15 pm Hongzhe Li, University of Pennsylvania

9:00 25. STATISTICAL INNOVATIONS FOR STUDYING Latent Class Quantitative Trait Loci (QTL) Mapping Shuyun Ye*, Xiaomao Li, Mark Keller, Alan Attie and THE HUMAN BRAIN FUNCTION Christina Kendziorski, University of Wisconsin, Madison Grand Ballroom II (3rd Floor) Sponsors: ENAR, ASA Section on ASA Section on Statistics 9:15 in Imaging Using Gene Expression to Improve the Organizer: Mark Fiecas, University of Warwick Power of Genome-Wide Association Analysis Yen-Yi Ho* and Emily C. Baechler, University of Minnesota Chair: Mark Fiecas, University of Warwick Ward Ortmann, Timothy W. Behrens, Robert R. Graham and Tushar R. Bhangale, Genentech, Inc. 10:30 Wei Pan, University of Minnesota A New Method for Estimating Changes in Granger Causality in EEG Data Ivor Cribben*, University of Alberta 9:30 Extending Linear Predictors to Impute Genotypes in Pedigrees 10:55 Wenan Chen* and Daniel J. Schaid, Mayo Clinic Genome-wide Scan of Brain Phenotypes Discovers Common Genetic Variants Influencing Cortical Surface Area 9:45 Chi-Hua Chen*, Andrew Schork and Wes Thompson, Inferring Rare Disease Risk Variants based University of California, San Diego on Exact Probabilities of Sharing by Multiple Ole Andreasssen, University of Oslo Affected Relatives Anders Dale, University of California, San Diego Alexandre Bureau*, Institut universitaire en santé mentale de Québec Samuel Younkin, University of Wisconsin, Madison 11:20 Margaret M. Parker, Johns Hopkins Bloomberg School Comparison of Parametric and Semiparametric of Public Health Statistical Methods and Signal Processing Joan E. Bailey-Wilson, National Human Genome Research Methodology for fMRI Signal Analysis Illustrated Institute, National Institutes of Health using a Gustatory Experiment Mary L. Marazita, University of Pittsburgh Jaroslaw Harezlak*, Indiana University Fairbanks School Jeffrey C. Murray, University of Iowa of Public Health Elisabeth Mangold, University of Bonn Mario Dzemidzic, Indiana University School of Medicine Hasan Albacha-Hejazi, Dr. Hejazi Clinic Maria A. Kudela and Jacek Urbanek, Indiana University Terri H. Beaty and Ingo Ruczinski, Johns Hopkins Fairbanks School of Public Health Bloomberg School of Public Health Brandon G. Oberlin and David A. Kareken, Indiana University School of Medicine

* = Presenter | n = Student Award Winner 52 ENAR 2014 | SPRING MEETING | MARCH 16–19 11:45 27. STATISTICS METHODS FOR HIGH-THROUGHPUT A Semi-parametric Quadratic Inference Approach for Longitudinal fMRI Data GENOMICS Yu Chen*, Timothy D. Johnson and Min Zhang, Grand Ballroom V (3rd Floor) University of Michigan Sponsors: ENAR, ASA Biometrics Section, ASA Biopharmaceutical Section 12:10 Floor Discussion Organizer: Hui Jiang, University of Michigan Chair: Hui Jiang, University of Michigan

10:30 26. META-ANALYSIS OF GENE-ENVIRONMENT Statistical Issues with RNAseq Data INTERACTION IN THE POST-GWAS ERA Rafael Irizarry*, Dana-Farber Cancer Institute and Harvard Grand Ballroom VI (3rd Floor) School of Public Health Sponsors: ENAR, ASA Section on Statistics and the Environment 10:55 Model-based Estimation of Abundances of Organizer: Bhramar Mukherjee, University of Michigan Species, Microbial Genes and Pathways in Chair: Jaeil Ahn, University of Texas MD Anderson Metagenomic Data Cancer Center Hongzhe Li* and Eric Chen, University of Pennsylvania

10:30 11:20 Testing GxE in Genome-wide Association Studies Statistical Analysis of Time Course ChIP-seq Data Li Hsu*, Fred Hutchinson Cancer Research Center Xuekui Zhang and Hongkai Ji*, Johns Hopkins Bloomberg School of Public Health 10:55 Bayesian Meta-analysis Methods for Detecting 11:45 G-E Interactions in Genomic Data Sequencing Thousands of Human Genomes Xiaoquan Wen*, University of Michigan Goncalo R. Abecasis, University of Michigan School of Public Health 11:20 The Role of Covariate Heterogeneity 12:10 in Meta-analysis of Gene-environment Floor Discussion Interactions with Quantitative Traits Bhramar Mukherjee*, University of Michigan Shi Li, Eli Lilly and Company 28. PANEL DISCUSSION: PERSONALIZED MEDICINE: 11:45 BETTER TREATMENT FOR THE PATIENT OR THE Meta and Mega Analysis of G x E Interactions RIGHT PATIENT FOR THE TREATMENT? with Complex Disease Outcomes: Experience Grand Ballroom VIII (3rd Floor) and Insights from the CHARGE Consortium Kenneth Rice* and Colleen Sitlani, Sponsors: ENAR, ASA Biopharmaceutical Section University of Washington Organizer: Olga Marchenko, Innovation, Quintiles Chair: Olga Marchenko, Innovation, Quintiles 12:10 Floor Discussion 10:30 Personanalized Medicine: Better Treatment for the Patient or the Right Patient for the Treatments? Anastasios A. Tsiatis, North Carolina State University 10:55 Keaven M. Anderson, Merck & Company, Inc. 11:20 Discussion Stephen J. Ruberg, Eli Lilly and Company — Distinguished Research Fellow Sandeep M. Menon, Pfizer Inc. and Boston University Lisa M. LaVange, U.S. Food and Drug Administration Ilya Lipkovich, Quintiles

12:00 Floor Discussion * = Presenter | n = Student Award Winner PROGRAM 53 29. RECENT ADVANCES IN STATISTICAL 11:45 Model-based Inference in Subgroup Analysis METHODS FOR META-ANALYSIS Xuming He* and Juan Shen, University of Michigan Grand Ballroom III (3rd Floor) Sponsors: ENAR, ASA Section on Bayesian Statistical 12:10 Science, ASA Biopharmaceutical Section Floor Discussion Organizer: Yong Chen, University of Texas Health Science Center at Houston 31. LATENT VARIABLE MODELING FOR MULTIPLE Chair: Haitao Chu, University of Minnesota OUTCOMES AND GROWTH MODELS IN 10:30 PSYCHIATRIC STUDIES Bayesian Network Meta-Analysis for Categorical Outcomes Grand Ballroom VII (3rd Floor) Christopher H. Schmid* and Thomas A. Trikalinos, Sponsors: ENAR, ASA Mental Health Statistics Section Brown University Organizer: Samprit Banerjee, Cornell University Chair: Yuanjia Wang, Columbia University 11:00 Incorporation of Mixed Bivariate Outcomes and 10:30 Individual Patient Data in Network Meta Analysis Shared Versus Specific Effects of Treatment on Bradley P. Carlin* and Hwanhee Hong, University Multiple Outcomes in Clinical Trials using Latent of Minnesota Variable Modeling Haoda Fu and Karen L. Price, Eli Lilly and Company Melanie Wall*, Columbia University

11:30 10:55 Meta-analysis of Diagnostic Test Accuracy Using Multiple Imputation to Harmonize Comparisons: Network Methods Data Across Multiple Trials that use Different Wei Cheng, Constantine Gatsonis*, Christopher Schmid Outcome Measures and Thomas Trikalinos, Brown University Juned Siddique*, Northwestern University Ahnalee Brinks, University of Miami 12:00 Charles H. Brown, Northwestern University Floor Discussion Jerome P. Reiter, Duke University

11:20 30. SUBGROUP ANALYSIS AND PERSONALIZED Simultaneous Estimation of Mixture Model PREDICTION for Multilevel Data Haiqun Lin*, Shu-xia Li, Xiao Xu and Grand Ballroom IX (3rd Floor) Harlan M. Krumholz, Yale University Sponsors: ENAR, ASA Biopharmaceutical Section Organizer: Annie Qu, University of Illinois, Urbana-Champaign 11:45 Three Novel Applications of Latent Variable Chair: Annie Qu, University of Illinois, Urbana-Champaign Modeling: A Discussion 10:30 Samprit Banerjee*, Cornell University Personalized Prediction Yunzhang Zhu, Xiaotong Shen*, and Changqing Ye, 12:10 University of Minnesota Floor Discussion

10:55 Personalized Treatment for Longitudinal Data 32. CONTRIBUTED PAPERS: BAYESIAN ANALYSIS Hyunkeun Cho*, Western Michigan University OF HIGH DIMENSIONAL DATA Peng Wang, Bowling Green State University Grand Ballroom I (3rd Floor) Annie Qu, University of Illinois, Urbana-Champaign Sponsor: ENAR 11:20 Chair: Mark Reimers, Virginia Commonwealth University Multiway Clustering with Hidden Structure Bruce G. Lindsay*, The Pennsylvania State University 10:30 Francesco Bartolucci, University of Perugia Constrained Priors and X-inactivation Francesca Chiaromonte, The Pennsylvania State University Alan B. Lenarcic*, John Calaway, Fernando Pardo and William Valdar, University of North Carolina, Chapel Hill

* = Presenter | n = Student Award Winner 54 ENAR 2014 | SPRING MEETING | MARCH 16–19 10:45 10:45 Bayesian Approach for Predicting Protein Prediction of Cancer Drugs’ Sensitivities using Secondary Structure High-Dimensional Genomic Features David B. Dahl, Brigham Young University Ting-Huei Chen* and Wei Sun, Qiwei Li* and Marina Vannucci, Rice University University of North Carolina, Chapel Hill Hyun Joo and Jerry W. Tsai, University of the Pacific 11:00 11:00 Enhancing Genetic Case-control Studies using A Hierarchical Bayesian Model for Inference of Copy Sample Surveys Number Variants and Their Association to Gene Parichoy Pal Choudhury* and Daniel Scharfstein, Expression Johns Hopkins University Alberto Cassese*, Rice University Joshua Galanter and Chris Gignoux, University of Michele Guindani, University of Texas California, San Francisco MD Anderson Cancer Center Lindsey Roth, Kaiser Permanente Mahlet G. Tadesse, Georgetown University Sam Oh, Esteban Burchard and Saunak Sen, University Francesco Falciani, University of Liverpool of California, San Francisco Marina Vannucci, Rice University 11:15 11:15 The Effect of FTO Gene Variants and Physical Sampling Designs for Multi-Species Assemblage Activity Interaction on Trunk Fat Percentage with Unknown Heterogeneity Among the Population of Newfoundland Hongmei Zhang, University of South Carolina Anthony Payne, Taraneh Abarin*, Farrell Cahill, Kaushik Ghosh*, University of Nevada, Las Vegas Guang Sun and J Concepción Loredo-Osti, Pulak Ghosh, Indian Institute of Management, Bangalore Memorial University

11:30 11:30 Bayes Multiple Classification Function in Logic On the Underlying Assumptions of Regression Models Threshold Boolean Networks as a Model Wensong Wu* and Tan Li, Florida International University for Genetic Regulatory Network Behavior Van Tran*, Mathew N. McCall, Helene McMurray and 11:45 Anthony Almudevar, University of Rochester Using Informative Priors Obtained from Medical Center Historical Data Significantly Improves Detection of Differentially Expressed Genes using 11:45 Microarray Data Evaluation of Illumina Infimium 450K Ben Li* and Qing He, Emory University Methylation Chip using Technical Replicates Zhaonan Sun and Yu Zhu, Purdue University Maitreyee Bose*, Weihua Guan, Chong Wu, Zhaohui Qin, Emory University James Pankow, Ellen Demerath and Jan Bressler, University of Minnesota 12:00 Smoothing Functional Data with a Hierarchical 12:00 Bayesian Model Leveraging Family History in Genetic Jingjing Yang*, Rice University Association Studies Hongxiao Zhu, Virginia Tech Arpita Ghosh*, Public Health Foundation of India Dennis D. Cox, Rice University Patricia Hartge, National Cancer Institute, National Institutes of Health Peter Kraft and Amit D. Joshi, Harvard School 33. CONTRIBUTED PAPERS: GENETICS AND of Public Health Regina G. Ziegler, National Cancer Institute, EPIDEMIOLOGIC STUDY DESIGN National Institutes of Health Grand Ballroom IV (3rd Floor) Myrto Barrdahl, German Cancer Research Center Sponsor: ENAR Stephen J. Chanock, Sholom Wacholder and Nilanjan Chatterjee, National Cancer Institute, Chair: Osorio Meirelles, National Institute on Aging, National Institutes of Health National Institutes of Health

10:30 Control Function Assisted IPW Estimation with a Secondary Outcome in Case-control Studies Tamar Sofer* and Eric J. Tchetgen Tchetgen, Harvard School of Public Health

* = Presenter | n = Student Award Winner PROGRAM 55 34. CONTRIBUTED PAPERS: NON-LINEAR MODELS 35. CONTRIBUTED PAPERS: SURVIVAL ANALYSIS Grand Ballroom X (3rd Floor) FOR CLINICAL TRIAL DATA Sponsor: ENAR Atlantic Room (3rd Floor) Chair: Phebe Brenne Kemmer, Emory University Sponsor: ENAR 10:30 Chair: Chi Hyun Lee, University of Minnesota Single Index Change Point Model with an 10:30 Application of Environmental Health Study Sample Size Calculation Based on Efficient on Mortality and Temperature Unconditional Tests for Clinical Trials with Hamdy Mahmoud* and Inyoung Kim, Virginia Tech Historical Controls Ho Kim, Seoul National University Guogen Shan* and Sheniz Moonie, University of Nevada, Las Vegas 10:45 A Model for Extreme Stacking of Data Censored 10:45 at Endpoints of a Distribution with a Continuous Sieve Estimation in a Markov Illness-Death Process Interior: Illustration with W-shaped Data Under Dual Censoring Robert Gallop*, Randall H. Rieger and Scott McClintock, Audrey Boruvka* and Richard J. Cook, West Chester University University of Waterloo David C. Atkins, University of Washington 11:00 11:00 A Simple Locally Efficient Estimator for Relative Estimating a Dengue Ordinary Differential Risk in Case-cohort Studies Equation Model with the Mesh Adaptive Emmanuel Sampene* and Abdus S. Wahed, Direct Search Method University of Pittsburgh Yu-Ting Weng*, University of Pittsburgh Shawn T. Brown and Nathan Stone, Pittsburgh Supercomputing Center 11:15 Abdus S. Wahed, University of Pittsburgh Generation of Virtual Control Groups for Single Arm Prostate Cancer Adjuvant Trials Zhenyu Jia*, University of Akron and Northeast Ohio 11:15 Medical University Parametric and Nonparametric Michael B. Lilly, Medical University of South Carolina Spherical Regression Dan A. Mercola, University of California, Irvine Michael M. Rosenthal n, Wei Wu, Eric Klassen and Anuj Srivastava, Florida State University 11:30 Imbalanced Randomization in Non-inferiority 11:30 Trials can be Highly Efficient Non-parametric Tests for One-Sided Interaction Rick Chappell*, University of Wisconsin Madison in Shape Restricted Models Mingyu Xi*, University of Maryland, Baltimore County 11:45 Estimating Survival Benefit in Randomized 11:45 Clinical Trials with Treatment Arm Switching Sparse Kernel Machine Regression for After Disease Progression Ordinal Outcomes Shan Kang* and Thomas M. Braun, University of Michigan Yuanyuan Shen*, Harvard School of Public Health Katherine Liao, Brigham and Women’s Hospital Tianxi Cai, Harvard School of Public Health 12:00 Semiparametric Proportional Rates Regression for the Composite Endpoint of Recurrent and 12:00 Terminal Events Regression Models on Riemannian Lu Mao* and Danyu Lin, University of North Carolina, Symmetric Spaces Chapel Hill Emil A. Cornea*, Hongtu Zhu and Joseph G. Ibrahim, University of North Carolina, Chapel Hill

* = Presenter | n = Student Award Winner 56 ENAR 2014 | SPRING MEETING | MARCH 16–19 36. CONTRIBUTED PAPERS: CLUSTERED 37. CONTRIBUTED PAPERS: STATISTICAL METHODS DATA METHODS FOR LONGITUDINAL DATA Bristol Room (3rd Floor) Chasseur Room (3rd Floor) Sponsor: ENAR Sponsor: ENAR Chair: Michael D. Larsen, The George Washington University Chair: Chulmin Kim, University of West Georgia

10:30 10:30 A New Semiparametric Approach to Sample Size Determination for Longitudinal Binary Finite Mixture of Regressions using Penalized Response Data based on Testing the Difference in Regression via Fusion Rate of Change in Log Odds Ratio between Groups Erin Austin*, Wei Pan and Xiaotong Shen, Kush Kapur*, Boston Children’s Hospital and Harvard University of Minnesota Medical School Dulal K. Bhaumik, University of Illinois, Chicago 10:45 Semi-Parametric Models for Clustered Survival 10:45 Data with Random Cluster Size Model Selection of Generalized Estimating Shuling Liu*, Amita K. Manatunga and Limin Peng, Equations with Multiple Imputation and Emory University High-dimensional Covariates for Missing Longitudinal Data 11:00 Ming Wang*, The Pennsylvania State College of Medicine Identification of Biologically Relevant Subtypes via Preweighted Sparse Clustering 11:00 Sheila Gaynor*, Harvard University An EM Algorithm for Multilevel Multivariate Mixed Eric Bair, University of North Carolina, Chapel Hill Effect Model with Unstructured Error Covariance Yun Ling* and Stewart J. Anderson, 11:15 University of Pittsburgh Estimation Methods for Copula Models for Discrete Clustered and Longitudinal Data 11:15 N. Rao Chaganty*, Old Dominion University Regression Methodology for Comparing Longitudinal Rates of Change 11:30 Matthew W. Bryan*, University of Pennsylvania Biclustering via Sparse Clustering Patrick Heagerty, University of Washington Qian Liu n, Guanhua Chen, Michael R. Kosorok and Eric Bair, University of North Carolina, Chapel Hill 11:30 Three-step Estimation via Local Polynomial 11:45 Smoothing for Unevenly Sampled Composite Likelihood Inference for Multivariate Longitudinal Data Finite Mixture Models with Application to Flow Lei Ye*, Ada O. Youk, Susan M. Sereika and Lora E. Burke, Cytometry Data University of Pittsburgh Fei Ma* and Ollivier Hyrien, University of Rochester

12:00 Weighted Quartile Sum Regression for Assessing the Association of Environmental Chemical Mixtures and Oral Health Bhanu M. Evani* and Chris Gennings, Virginia Commonwealth University

* = Presenter | n = Student Award Winner PROGRAM 57 11:45 2:35 The Use of Tight Clustering Techniques for Estimating the Health Benefit of Reducing Indoor Group-based Trajectory Modeling of Longitudinal Air Pollution in a Randomized Environmental Data Accounting for Random Intercepts Intervention Ching-Wen Lee* and Lisa A. Weissfeld, University Roger D. Peng*, Arlene Butz, Amber J. Hackstadt, D’Ann of Pittsburgh L. Williams, Gregory B. Diette, Patrick N. Breysse and Elizabeth C. Matsui, Johns Hopkins University 12:00 Monotone Spline-based Nonparametric Estimation 3:00 of Longitudinal Data with Mixture Distribution Influence of Time-varying Air Pollution Exposure Wenjing Lu* and Ying Zhang, University of Iowa on Rate of Change Estimates for Progression of Cardiovascular Disease Lianne Sheppard* and Adel Lee, University of Washington

Monday, March 17 3:25 12:15 pm – 1:30 pm Floor Discussion ROUNDTABLE LUNCHEONS 39. RECENT ADVANCES IN CAUSAL INFERENCE Dover Rooms (3rd Floor) Grand Ballroom III (3rd Floor) Sponsors: IMS, ASA Mental Health Statistics Section, ASA Biometrics Section Monday, March 17 Organizer: Dylan Small, University of Pennsylvania 1:45 pm – 3:30 pm Chair: Dylan Small, University of Pennsylvania 1:45 38. RECENT DEVELOPMENTS IN ESTIMATING Causal Inference with Social Network Data: Inflated Effective Sample Sizes, Deflated THE HEALTH EFFECTS OF AIR POLLUTION Standard Errors, and Other Perils AND REGULATION Elizabeth Ogburn *, Johns Hopkins University Grand Ballroom VIII (3rd Floor) 2:10 Sponsors: ENAR, ASA Section on Bayesian Statistical Causal Inference with Continuous Treatments Science, Statistics and the Environment Yeying Zhu*, University of Waterloo Organizer: Brian Reich, North Carolina State University Donna L. Coffman and Debashis Ghosh, The Pennsylvania State University Chair: Brian Reich, North Carolina State University

1:45 2:35 A Distributed Exposure Time-to-Event Model Balancing Covariates via Propensity Score for Estimating Associations Between Air Pollution Weighting: A New Perspective and Preterm Birth Fan Li*, Duke University Howard H. Chang*, Emory University Alan Zaslavsky, Harvard Medical School Joshua L. Warren, University of North Carolina, Chapel Hill Kari Lock Morgan, Duke University Lyndsey A. Darrow, Emory University Brian J. Reich, North Carolina State University 3:00 Lance A. Waller, Emory University Robust Estimation of Causal Effects of Erythropoiesis-stimulating Agents (ESAs) 2:10 on Mortality Bayesian Kernel Machine Regression for Estimating Roee Gutman* and David D. Dore, Brown University the Health Effects of Pollution Mixtures Brent A. Coull* and Jennifer F. Bobb, Harvard School 3:25 of Public Health Floor Discussion Gregory A. Wellenius, Brown University Murray Mittleman, Beth Israel Deaconess Medical Center

* = Presenter | n = Student Award Winner 58 ENAR 2014 | SPRING MEETING | MARCH 16–19 40. SOCIAL NETWORK DATA: 2:35 Statistical Analysis of Deep Sequencing Data CHALLENGES AND OPPORTUNITIES from Tumor Samples Grand Ballroom II (3rd Floor) Lin Hou, Yale School of Public Health Sponsors: IMS, ASA Statistical Learning and Mengjie Chen, Yale University Data Mining Section Hongyu Zhao*, Yale School of Public Health Organizer: Elizabeth Ogburn, Harvard University 3:00 Chair: Iván Díaz, Johns Hopkins University Models and Statistics for Detection of Genome Structural Variation 1:45 Nancy R. Zhang*, University of Pennsylvania What, if Anything, Do We Learn by Fitting an David Siegmund, Stanford University Exponential-family Random Graph Model? Benjamin Yakir, The Hebrew University Cosma Shalizi* and Alessandro Rinaldo, Carnegie Mellon University 3:25 Floor Discussion 2:10 Bayesian Inference for Non-Ignorable Sampling in Social Networks Simon Lunagomez* and Edoardo M. Airoldi, 42. VARIABLE SELECTION AND ANALYSIS OF Harvard University HIGH DIMENSIONAL DATA Grand Ballroom I (3rd Floor) 2:35 Sponsors: ENAR, ASA Statistical Learning Targeted Learning of Causal Effects for Networks and Data Mining Section Mark J. van der Laan*, University of California, Berkeley Organizer: Lily Wang, University of Georgia 3:00 Chair: Lily Wang, University of Georgia Diffusion Matters, But How? Kevin A. Bryan*, Northwestern University 1:45 Regularized Semiparametric Functional Linear Regression 3:25 Helen Zhang*, University of Arizona Floor Discussion 2:10 Dimension Reduction for Tensor Regression 41. STATISTICS AND COMPUTING FOR Peng Zeng*, Auburn University HIGH-THROUGHPUT SEQUENCING DATA Wenxuan Zhong, University of Georgia Grand Ballroom V (3rd Floor) Sponsors: ENAR, ASA Statistical Learning 2:35 and Data Mining Section Sparse Group LASSO for Pathway Based GWAS Tatiyana V. Apanasovich*, The George Washington Organizer: Hongkai Ji, Johns Hopkins School of Public Health University Chair: Hongkai Ji, Johns Hopkins School of Public Health 3:00 1:45 Floor Discussion Computational Challenges in Exome and RNA-Seq Analysis Steven L. Salzberg*, Johns Hopkins University

2:10 Statistical Modeling of Alternative Splicing with RNA-Seq Data Hui Jiang*, University of Michigan Julia Salzman, Stanford University Yang Shi, University of Michigan

* = Presenter | n = Student Award Winner PROGRAM 59 43. FUNCTIONAL DATA ANALYSIS AND 44. EMERGING STATISTICAL CHALLENGES ITS APPLICATIONS IN GENETICS WITH COMPLEX LONGITUDINAL Grand Ballroom VI (3rd Floor) OR FUNCTIONAL DATA Sponsor: ENAR Grand Ballroom IX (3rd Floor) Organizer: Ruzong Fan, Eunice Kennedy Shriver National Sponsor: ENAR, ASA Biometrics Section Institute of Child Health and Human Development, National Organizer: Lu Wang, University of Michigan Institutes of Health Chair: Lu Wang, University of Michigan Chair: Yifan Wang, National Institutes of Health 1:45 1:45 Consistent Estimation of Covariate Effects for Some Most Predictive Interval Selection for Functional Between-/Within-Cluster Covariate Decomposition Predictors, with Application to Classifying Tumor Methods When Data are Missing at Random Stages from Mass Spectra John Neuhaus* and Charles McCulloch, Andreas Kryger Jensen, University of Southern University of California, San Francisco Denmark, Odense Hans-Georg Müller*, University of California, Davis 2:10 Handling Missing Data for Multiple Waves 2:10 of Longitudinal Data Restricted Likelihood Ratio Tests for Functional Xuan Bi and Annie Qu*, Effects in the Functional Linear Model University of Illinois, Urbana-Champaign Bruce J. Swihart*, Johns Hopkins Bloomberg School of Public Health 2:35 Jeff Goldsmith, Columbia University A Broad Framework for Joint Modeling and Some Ciprian M. Crainiceanu, Johns Hopkins Bloomberg Tales from the Unexpected School of Public Health Geert Molenberghs*, I-BioStat, Hasselt Universiteit and Katholieke Universiteit Leuven, Belgium 2:35 Michael G. Kenward, London School of Hygiene and Gene-gene Interaction Analysis for Tropical Medicine, UK Next-generation Sequencing Marc Aerts, Hasselt Universiteit, Belgium Momiao Xiong*, University of Texas School Geert Verbeke, Katholieke Universiteit Leuven and Hasselt of Public Health Universiteit, Belgium Yun Zhu and Jinying Zhao, Tulane University Anastasios Tsiatis and Marie Davidian, North Carolina State University 3:00 Dimitris Rizopoulos, Erasmus University, The Netherlands Functional Regression Models for Association Analysis of Complex Traits 3:00 Ruzong Fan*, Yifan Wang and James L. Mills, Eunice Modeling and Estimation Methods for Physical Kennedy Shriver National Institute of Child Health and Activity Data Human Development, National Institutes of Health Haocheng Li and Raymond J. Carroll*, Texas A&M Alexander F. Wilson and Joan E. Bailey-Wilson, National University Human Genome Research Institute, National Institutes John Staudenmayer, University of Massachusetts, Amherst of Health Momiao Xiong, University of Texas, Houston 3:25 Floor Discussion 3:25 Floor Discussion

* = Presenter | n = Student Award Winner 60 ENAR 2014 | SPRING MEETING | MARCH 16–19 45. CONTRIBUTED PAPERS: 46. CONTRIBUTED PAPERS: GENOME WIDE ASSOCIATION STUDIES APPLICATIONS OF BAYESIAN METHODS Grand Ballroom IV (3rd Floor) Atlantic Room (3rd Floor) Sponsor: ENAR Sponsor: ENAR Chair: Alexandre Bureau, Université Laval Chair: Jing Zhang, University of Minnesota

1:45 1:45 Testing Calibration of Risk Models at Semi-parametric Bayesian Clustering Extremes of Disease-risk of Ophthalmology Data Minsun Song*, National Cancer Institute, National Xin Tong*, University of South Carolina Institutes of Health Hongmei Zhang, University of Memphis Peter Kraft and Amit D. Joshi, Harvard School of Public Health 2:00 Myrto Barrdahl, German Cancer Research Center A Nonparametric Bayesian Latent Factor Model for Nilanjan Chatterjee, National Cancer Institute, Body Image Evaluation National Institutes of Health Kassie Fronczyk*, Rice University Michele Guindani, University of Texas MD Anderson 2:00 Cancer Center An Adaptive Genetic Association Test using Double Marina Vannucci, Rice University Kernel Machines Xiang Zhan* and Debashis Ghosh, The Pennsylvania 2:15 State University Bayes Sensitivity Analysis with Fisher-Rao Metric Sebastian Kurtek and Karthik Bharath*, 2:15 The Ohio State University Multi-Marker Tests for Joint Association in Longitudinal Studies using the Genetic Random 2:30 Field Model Bayesian Inference on Multiple Proportions Zihuai He*, Min Zhang, Jennifer Smith, Sharon Kardia, for Misclassified Binomial Data Ana Diez Roux and Seunggeun Lee, University Dewi Rahardja and Haiwen Shi*, of Michigan U.S. Food and Drug Administration Xiuqing Guo and Walter Palmas, Columbia University Bhramar Mukherjee, University of Michigan 2:45 Longitudinal Mediation Analysis 2:30 Chanmin Kim* and Michael J. Daniels, More Powerful Genetic Association Testing University of Texas, Austin via a New Statistical Framework for Jason A. Roy, University of Pennsylvania Integrative Genomics Beth H. Marcus, University of California, San Diego Sihai D. Zhao*, Tony Cai and Hongzhe Li, University of Pennsylvania 3:00 Estimation of Contact Network Properties using 2:45 Multiple HIV Epidemic Data Sources Principal Component Regression and Linear Ravi Goyal* and Nicole B. Carnegie, Harvard University Mixed Model in Association Analysis of Structured Samples: Competitors or Complements? Yiwei Zhang n, Novartis Pharmaceuticals 3:15 Wei Pan, University of Minnesota Bayesian Variable Selection for a Regression Model with a Misclassified Binary Covariate Daniel P. Beavers*, Wake Forest School of Medicine 3:00 James D. Stamey, Baylor University A Versatile Omnibus Test for Detecting Mean and Variance Heterogeneity for Quantitative Traits Peng Wei*, Ying Cao and Taylor Maxwell, University of Texas School of Public Health

3:15 Flexible and Robust Methods for Rare-variant Testing of Quantitative Traits in Pedigrees Yunxuan Jiang*, Karen N. Conneely and Michael P. Epstein, Emory University

* = Presenter | n = Student Award Winner PROGRAM 61 47. CONTRIBUTED PAPERS: 48. CONTRIBUTED PAPERS: CLINICAL TRIALS HIGH DIMENSIONAL DATA Bristol Room (3rd Floor) Grand Ballroom VII (3rd Floor) Sponsor: ENAR Sponsor: ENAR Chair: Ashutosh Ranjan, University of Alabama, Birmingham Chair: Yuval Benjamini, Stanford University 1:45 1:45 Outcome-adaptive Allocation with Natural Lead-in Inference for Survival Prediction in the High for Three-group Trials with Binary Outcomes Dimensional Setting Ghalib A. Bello* and Roy T. Sabo, Jennifer A. Sinnott* and Tianxi Cai, Harvard University Virginia Commonwealth University

2:00 2:00 Testing High-dimensional Nonparametric Function Trial Design and Analysis Challenges When with Application to Gene Set Analysis Studying Therapies Designed to Control Growth Tao He*, Ping-Shou Zhong, Yuehua Cui of Brain Metastases in Cancer Patients and Vidyadhar Mandrekar, Michigan State University Sujata M. Patil*, Memorial Sloan-Kettering Cancer Center

2:15 2:15 Variable Selection and Inference for Ultra-High Understanding Inconsistencies Between Replicate Dimensional Survival Data With Missing Covariates Trials: Insomnia Case Study Under Proportional Hazards Models Richard Entsuah, Kenneth Liu*, Junshui Ma, Duane Yang Ning* and Grace Yi, University of Waterloo Snavely and Ellen Snyder, Merck Baojiang Chen, University of Nebraska Nancy Reid, University of Toronto 2:30 Sample Size Determination for a 2:30 Three-arm Equivalence Trial of An EM Test for the Contaminated Chi-Square Model Normally Distributed Responses Feng Zhou*, University of Kentucky Yu-Wei Chang*, Temple University Hongying Dai, Children’s Mercy Hospital Yi Tsong and Xiaoyu Dong, U.S. Food and Drug Richard Charnigo, University of Kentucky Administration Zhigen Zhao, Temple University 2:45 Biostatistical Matrix Time Series Models 2:45 Seyed Yaser Samadi* and Lynne Billard, The Utility of Bayesian Predictive Probabilities University of Georgia for Interim Monitoring of Clinical Trials Benjamin R. Saville*, Vanderbilt University School of Medicine 3:00 Jason Connor, Berry Consultants Supervised Singular Value Decomposition and Its Gregory Ayers and JoAnn Alvarez, Vanderbilt University Asymptotic Properties School of Medicine Gen Li n and Haipeng Shen, University of North Carolina, Chapel Hill Dan Yang, Rutgers, The State University of New Jersey 3:00 Andrew Nobel, University of North Carolina, Chapel Hill Evaluation of Bias for Outcome Response Adaptive Randomization Designs Yaping Wang*, University of Texas MD Anderson Cancer 3:15 Center and University of Texas School of Public Health brainR: Interactive 3 and 4d Images of High Hongjian Zhu, University of Texas School of Public Health Resolution Neuroimage Data J. Jack Lee, University of Texas MD Anderson Cancer Center John Muschelli*, Elizabeth M. Sweeney and Ciprian M. Crainiceanu, Johns Hopkins Bloomberg School of Public Health 3:15 Analysis of the Anticipated Power of a Test: Browne (1995) Revisited Paul W. Stewart*, University of North Carolina, Chapel Hill

* = Presenter | n = Student Award Winner 62 ENAR 2014 | SPRING MEETING | MARCH 16–19 49. CONTRIBUTED PAPERS: PERSONALIZED 2:45 Consistent Variable Selection for Quantile MEDICINE AND VARIABLE SUBSET SELECTION Regression with Varying Covariate Effects Grand Ballroom X (3rd Floor) Qi Zheng* and Limin Peng, Emory University Sponsor: ENAR 3:00 Chair: Na Zhang, North Carolina State University Consistent Bi-level Variable Selection via 1:45 Composite Group Bridge Regression Multivariate Markov Models for the Conditional Indu Seetharaman, Kansas State University Probability of Toxicity in Phase II Trials Kun Chen*, University of Connecticut Laura L. Fernandes*, Susan Murray and Jeremy MG Taylor, University of Michigan 3:15 Penalized Regression for Interval-Censored Times 2:00 of Disease Progression: Selection of HLA Markers Latent Supervised Learning for Estimating in Psoriatic Arthritis Treatment Effect Heterogeneity Ying Wu* and Richard Cook, University of Waterloo Susan Wei* and Michael R. Kosorok, University of North Carolina, Chapel Hill 50. CONTRIBUTED PAPERS: ANALYSIS 2:15 OF CLUSTERED DATA Personalized Selection of Radiation Therapy Chasseur Room (3rd Floor) Dose using Statistical Models for Toxicity and Efficacy with Dose and Biomarkers as Covariates Sponsor: ENAR Matthew Schipper* and Jeremy MG Taylor, University Chair: Jacek Urbanek, Indiana University Fairbanks of Michigan School of Public Health Feng-Ming Kong, Georgia Regents University Randy TenHaken and Martha Matuzak, University 1:45 of Michigan Statistical Methods for Assessing Perception in Children with Cochlear Implants 2:30 Michael D. Larsen* and Cynthia Core, The George Simultaneous Inference for Assessing the Washington University Effects of a SNP on Treatment Efficacy in Janean Wilson, Children’s National Medical Center Personalized Medicine James Mahshie, The George Washington University Ying Ding*, University of Pittsburgh Grace Li and Stephen J. Ruberg, Eli Lilly and Company 2:00 Jason C. Hsu, Eli Lilly and Company and The Ohio Identify Common Clusters in Independent State University Populations with Application to Psychiatry Yun Zhang*, Kehui Chen, Allan Sampson and David Volk, University of Pittsburgh

* = Presenter | n = Student Award Winner PROGRAM 63 2:15 Generalized Estimating Equation in Analyzing Monday, March 17 Group-Randomized Trials with Limited Number of Groups 3:30 pm – 3:45 pm Peng Li* and David T. Redden, University of Alabama, Birmingham Refreshment Break with Our Exhibitors Grand Ballroom Foyer (3rd Floor) 2:30 Accounting for Covariates in Differential Methylation Analysis with Next-generation Sequencing Monday, March 17 Hongyan Xu*, Georgia Regents University Robert Podolsky, Wayne State University 3:45 pm – 5:30 pm Duchwan Ryu and Varghese George, Georgia Regents University 51. THE ROLE OF STATISTICS IN SHAPING 2:45 PUBLIC POLICY Evaluating Predictors of Individual Dietary Intake Latent Values under Different Mixed Models Grand Ballroom II (3rd Floor) Shuli Yu* and Edward J. Stanek III, Sponsors: ENAR, ASA Government Statistics Section University of Massachusetts, Amherst Organizer: Hernando Ombao, University of California at Irvine 3:00 A Markov Mixture Model for Longitudinal Course Chair: Hernando Ombao, University of California at Irvine of Youth Bipolar Disorder 3:45 Jieyu Fan*, Satish Iyengar and Boris Birmaher, Statisticians: Guardians of Democracy! University of Pittsburgh Roderick J. Little*, University of Michigan Adriana Lopez, Carnegie Mellon University, Qatar Rasim S. Diler, University of Pittsburgh David Axelson, The Ohio State University 4:30 Benjamin Goldstein, University of Toronto Big Statistics, Major Policies, and... a Little Politics Tina Goldstein, University of Pittsburgh Sally C. Morton*, University of Pittsburgh Fangzi Liao and Mary K. Gill, Western Psychiatric Institute and Clinic 5:15 Floor Discussion 3:15 Longitudinal Multivariate Outcome Data from Couples: Application to HPV Transmission 52. PANEL DISCUSSION: HAVING IT ALL: Couple Studies WEIGHTING TO ACHIEVE BALANCE Xiangrong Kong*, Johns Hopkins University Bloomberg Grand Ballroom V (3rd Floor) School of Public Health Sponsor: ENAR Organizers: Shari Messinger, University of Miami and Leslie McClure, University of Alabama, Birmingham Chairs: Shari Messinger, University of Miami and Leslie McClure, University of Alabama at Birmingham

3:45 Thomas M. Braun, University of Michigan Mary D. Sammel, University of Pennsylvania Telba Z. Irony, U.S. Food and Drug Administration Aarti Shah, Eli Lilly & Company Francesca Dominici, Harvard School of Public Health

5:15 Floor Discussion

* = Presenter | n = Student Award Winner 64 ENAR 2014 | SPRING MEETING | MARCH 16–19 53. BIOSTATISTICAL METHODS FOR INTEGRATIVE 4:10 Graphical Approaches for Disproportionality GENOMICS Analysis of Spontaneously-Reported Adverse Grand Ballroom VI (3rd Floor) Events in Pharmacovigilance Sponsor: ENAR Richard C. Zink*, JMP Life Sciences at SAS Insitute, Inc. Organizer: Wei Sun, University North Carolina, Chapel Hill 4:35 Chair: Wei Sun, University North Carolina, Chapel Hill Likelihood Ratio Tests for Active Surveillance Ram C. Tiwari*, U.S. Food and Drug Administration 3:45 A Brief Overview of Modelling Approaches 5:00 in Integrative Genomics, with Special Reference Discussion of Safety Surveillance Monitoring to eQTL Analyses Through Signal Detection Sylvia T. Richardson*, Cambridge Institute of Public Health Theodore Lystig*, Medtronic, Inc. 4:25 5:25 Information Integrative Framework for Floor Discussion Sparse K-means to Combine multi-Cohort and Multi-omics Data Zhiguang Huo, Sunghwan Kim and George C. Tseng*, University of Pittsburgh 55. MULTIPLE TESTING AND SIMULTANEOUS INFERENCES IN COMPLEX SETTINGS 4:45 Grand Ballroom III (3rd Floor) EgoNet: Identification of Disease Ego-network Modules Sponsors: ENAR, ASA Statistical Learning Rendong Yang, Zhaohui S. Qin and Tianwei Yu*, and Data Mining Section, ASA Biopharmaceutical Section Emory University Organizer: Yi-Hui Zhou, North Carolina State University Chair: Yi-Hui Zhou, North Carolina State University 5:05 Extensions to Hidden Markov Models and Their 3:45 Application to Integrated Analysis of Multiple False Discovery Rate Control and Group Testing Chromatin Immunoprecipitation Data for Complex Omics Data Hyung Won Choi, National University of Singapore Andrew B. Nobel* and Gen Li, University of North Carolina, Damian Famian and Alexey Nesvizhskii, University Chapel Hill of Michigan Andrey Shabalin, Virginia Commonwealth University Debashis Ghosh, The Pennsylvania State University Ivan Rusyn, University of North Carolina, Chapel Hill Zhaohui S. Qin*, Emory University Fred A. Wright, North Carolina State University

5:25 4:10 Floor Discussion Another Look at Robust PC-based Stratification Control for Multiple Testing Yi-Hui Zhou*, North Carolina State University 54. SAFETY SURVEILLANCE MONITORING THROUGH SIGNAL DETECTION 4:35 Simultaneous Inference of Multiple Rare Variants: Grand Ballroom I (3rd Floor) Design, Power and Interpretation of Findings Sponsors: ENAR, ASA Biopharmaceutical Section Andriy Derkach, University of Toronto Jerry F. Lawless, University of Waterloo Organizer: Theodore Lystig, Medtronic, Inc. Lei Sun*, University of Toronto Chair: Laura Hatfield, Harvard Medical School 5:00 3:45 Extending the Projack to Complex Settings Methodological Challenges for Sequential Fred A. Wright* and Yi-Hui Zhou, Medical Product Safety Surveillance using North Carolina State University Observational Healthcare Data Andrea J. Cook* and Jennifer C. Nelson, Group Health Research Institute 5:25 Floor Discussion

* = Presenter | n = Student Award Winner PROGRAM 65 56. NEW DEVELOPMENTS IN BAYESIAN 4:00 A General Statistical Framework for Transcript NONPARAMETRICS Assemblies Grand Ballroom IX (3rd Floor) Alyssa Frazee*, Geo Pertea, Steven Salzberg Sponsors: IMS, ASA Section on Bayesian Statistical Science and Jeff Leek, Johns Hopkins University Organizer: Jian Kang, Emory University School 4:15 of Public Health Nonparametric Test for Differential Binding Chair: Jian Kang, Emory University School of Public Health Analysis with ChIP-Seq Data Qian Wu*, Kyoung-Jae Won and Hongzhe Li, 3:45 University of Pennsylvania Scalable Bayesian ASA Section on Nonparametric Statistics 4:30 David B. Dunson*, Duke University A Statistical Framework for Expression QTL Mapping via Two-way Mixture Model 4:10 Ningtao Wang*, Yaqun Wang, Bruce Lindsay and Bayesian Models of Structured Sparsity for Rongling Wu, The Pennsylvania State University Discovery of Regulatory Genetic Variants Ryan P. Adams*, Harvard University 4:45 Barbara Engelhardt, Duke University SVM with Bootstrap for Soft Clustering of Populations 4:35 Matey Neykov*, Harvard University Bayesian Nonparametric Inference of Population Admixtures 5:00 Maria De Iorio* University College London Functional Principal Component Analysis for Stefano Favaro, Universita’ degli Studi di Torino Next Generation Sequencing Yee Whye Teh, University of Oxford Lieven Clement*, Ghent University Lloyd Elliott, University College London 5:15 5:00 The Generalized Higher Criticism for Testing Pre-surgical Assessment of Peritumoral Brain SNP-sets in Genetic Association Testing Activation Via a Bayesian Non-parametric Ian J. Barnett n and Xihong Lin, Harvard University Potts Model Timothy D. Johnson*, University of Michigan

5:25 58. CONTRIBUTED PAPERS: IMAGING Floor Discussion Grand Ballroom IV (3rd Floor) Sponsor: ENAR Chair: Sheng Luo, University of Texas Health Science 57. CONTRIBUTED PAPERS: STATISTICAL GENETICS Center at Houston AND GENOMICS 3:45 Grand Ballroom VIII (3rd Floor) Modeling Covariate Effects in Group Independent Sponsor: ENAR Component Analysis with Applications to Chair: Sihai Dave Zhao, University of Pennsylvania Functional Magnetic Resonance Imaging Ran Shi* and Ying Guo, Emory University 3:45 Sparse Multivariate Factor Analysis Regression 4:00 Models and Its Applications to Integrative Quantile Mapping for Multi-modal Imaging Data Genomics Analysis Huaihou Chen*, Philip T. Reiss, Clare Kelly and Yan Zhou* and Peter Song, University of Michigan Xavier F. Castellanos, New York University Pei Wang, Fred Hutchinson Cancer Research Center School of Medicine Ji Zhu, University of Michigan 4:15 Latent Variable Models for Longitudinal MR Imaging Data with Multiple Outcomes Xiao Wu*, University of Florida Michael J. Daniels, University of Texas, Austin

4:30 A Novel Brain Connectivity Network Model: Build Bridges Between Network Communities Shuo Chen*, University of Maryland, College Park * = Presenter | n = Student Award Winner 66 ENAR 2014 | SPRING MEETING | MARCH 16–19 4:45 5:00 A Bayesian Model for Brain Activation and Weighted Estimation of the Accelerated Connectivity Failure Time Model in the Presence of Zhe Yu* and Hernando Ombao, University of California, Dependent Censoring Irvine Youngjoo Cho* and Debashis Ghosh, Raquel Prado, University of California, Santa Cruz The Pennsylvania State University Erin Burke and Steve Cramer, University of California, Irvine 5:15 Model Assisted Cox Regression 5:00 Shoubhik Mondal* and Sundarraman Subramanian, Pre-Surgical fMRI Data Analysis using a Spatially New Jersey Institute of Technology Adaptive Conditional Autoregressive Model Zhuqing Liu*, Veronica J. Berrocal and Timothy D. Johnson, University of Michigan 60. CONTRIBUTED PAPERS: HIERARCHICAL MODELS 5:15 Spatial and Temporal Pattern in the Brain Atlantic Room (3rd Floor) Accounting Cognitive Changes After Mild Sponsor: ENAR Traumatic Brain Injury Chair: Michelle Ross, University of Pennsylvania Namhee Kim*, Craig A. Branch and Michael L. Lipton, Albert Einstein College of Medicine 3:45 Examining the Spatio-temporal Trend Between Alcohol Outlets and Violence using Integrated 59. CONTRIBUTED PAPERS: SEMI-PARAMETRIC Nested Laplace Approximations AND NON-PARAMETRIC MODELS IN Loni P. Tabb*, Drexel University SURVIVAL ANALYSIS Tony H. Grubesic, Oregon State University Grand Ballroom VII (3rd Floor) 4:00 Sponsor: ENAR The Role of Prior Effective Sample Size in the Design of Bayesian Medical Device Studies Chair: Tian Dai, Emory University Gene A. Pennello and Laura Thompson*, 3:45 U.S. Food and Drug Administration Semiparametric Bayes Estimation of Gap-Time Distribution with Correlated Recurrent Event Data 4:15 AKM F. Rahman* and Edsel A. Pena, A Hybrid Bayesian Hierarchical Model Combining University of South Carolina, Columbia Cohort and Case-control Studies for Meta-analysis of Diagnostic Tests: Accounting for Disease 4:00 Prevalence and Partial Verification Bias Quantile Regression Models for Current Status Data Xiaoye Ma*, University of Minnesota Fang-Shu Ou n, Donglin Zeng and Jianwen Cai, Yong Chen, University of Texas University of North Carolina, Chapel Hill Stephen Cole, University of North Carolina, Chapel Hill Haitao Chu, University of Minnesota 4:15 Competing Risks Regression Under Random 4:30 Signs Censoring Group Comparison of Pulsatile Hormone Jonathan Yabes* and Joyce Chang, University Times Series of Pittsburgh TingTing Lu* and Timothy D. Johnson, University of Michigan 4:30 Regression Analysis of Informatively 4:45 Interval-censored Failure Time Data with Cox Model Population Size Estimation with Inactive Lists: Ling Ma*, University of Missouri, Columbia Hierarchical Mixture Models and Missing Data Tao Hu, Capital Normal University, China with Application to Armed Conflict Data Jianguo Sun, University of Missouri, Columbia Shira Mitchell* and Al Ozonoff, Harvard University Kristian Lum, Virginia Polytechnic Institute and State University 4:45 Alan M. Zaslavsky and Brent A. Coull, Harvard University Floor Discussions

* = Presenter | n = Student Award Winner PROGRAM 67 5:00 5:00 Bayesian Hierarchical Joint Modeling of Repeatedly Maximum Likelihood Adjustment for Measured Continuous and Ordinal Markers of Mis-measured Exposure using External Disease Severity Validation Data and Propensity Scores Olive D. Buhule*, Abdus S. Wahed and Ada O. Youk, Danielle Braun*, Harvard School of Public Health University of Pittsburgh and Dana-Farber Cancer Institute Malka Gorfine, Israel Institute of Technology 5:15 Corwin Zigler and Francesca Dominici, Harvard School Hierarchical Nearest-Neighbor Gaussian Process of Public Health Models for Massive Geostatistical Datasets Giovanni Parmigiani, Harvard School of Public Health Abhirup Datta* and Sudipto Banerjee, University and Dana-Farber Cancer Institute of Minnesota Andrew O. Finley, Michigan State University 5:15 Examination of Statistical Power in a Propensity Score Analysis Approach 61. CONTRIBUTED PAPERS: METHODS Falynn C. Turley* and David Redden, University of FOR REMOVING SELECTION BIAS AND Alabama, Birmingham CONFOUNDING Grand Ballroom X (3rd Floor) 62. CONTRIBUTED PAPERS: FUNCTIONAL DATA Sponsor: ENAR ANALYSIS Chair: Yenny Webb-Vargas, Bristol Room (3rd Floor) Johns Hopkins Bloomberg School of Public Health Sponsor: ENAR 3:45 Chair: Guanqun Cao, Auburn University Stable Weights that Balance Covariates for Causal Inference and Estimation with Incomplete Data 3:45 Jose Zubizarreta n, Columbia University Structured Functional Principal Component Analysis Haochang Shou*, Vadim Zipunnikov and 4:00 Ciprian M. Crainiceanu, Johns Hopkins Bloomberg Matching using Propensity Score Methods School of Public Health for Time-varying Treatments Sonja Greven, Ludwig-Maximilians-Universitat, Germany Pallavi S. Mishra-Kalyani*, Brent A. Johnson and Qi Long, Emory University 4:00 A Robust Approach for Functional Linear 4:15 Regression Model Estimating Causal Effects in an Observational Yihong Zhao*, New York University Medical Center Study with a Survival Time Endpoint R. Todd Ogden, Columbia University Medical Center Jaeun Choi* and Mary Beth Landrum, Huaihou Chen, New York University Medical Center Harvard Medical School A. James O’Malley, Dartmouth College Bruce Landon, Harvard Medical School 4:15 Nonlinear Functional Regression Models with Application to Copy Number Data 4:30 Adrian Coles* and Arnab Maity, North Carolina Weighting to Strengthen an Instrumental Variable State University Doug Lehmann*, Yun Li and Yi Li, University of Michigan Ganiraju Manyam and Veerabhadran Baladandayuthapani, University of Texas 4:45 MD Anderson Cancer Center Propensity Score Bin Bootstrapping Method in Estimation of Cost-Effectiveness 4:30 Zugui Zhang*, Paul Kolm and William S. Weintraub, Generalized Functional Linear Models for Christiana Care Health System Case-Control Association Studies Ruzong Fan, Yifan Wang* and James L. Mills, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health Iryna Lobach, University of California, San Francisco Momiao Xiong, University of Texas, Houston

* = Presenter | n = Student Award Winner 68 ENAR 2014 | SPRING MEETING | MARCH 16–19 4:45 4:45 Wavelet-based Function-on-Function Mixed Cortical Thickness Thinning and Cognitive Models Impairment in Parkinson’s Disease Without Mark J. Meyer* and Brent A. Coull, Harvard University Dememtia Francesco Versace and Jeffrey S. Morris, University of Lijun Zhang*, Ming Wang, Nicholas Sterling, EunYoung Texas MD Anderson Cancer Center Lee, Guangwei Du, Mechelle Lewis and Xuemei Huang, The Pennsylvania State University, 5:00 Milton S. Hershey Medical Center A Computational Framework for Genetic Mapping of Heterochrony 5:00 Han Hao*, Ningtao Wang and Yaqun Wang, Bayesian Modeling of Mixed Outcome Types using The Pennsylvania State University Random Effect Jianxin Wang and Zhong Wang, Beijing Forestry University Hua Wei*, Eli Lilly and Company Rongling Wu, The Pennsylvania State University 5:15 An Objective Stepwise Bayes Approach to Small 63. CONTRIBUTED PAPERS: RECENT ADVANCES IN Area Estimation BAYESIAN METHODS Yanping Qu*, U.S. Food and Drug Administration Glen D. Meeden, University of Minnesota Chasseur Room (3rd Floor) Sponsor: ENAR Chair: Karthik Bharath, The Ohio State University Tuesday, March 18 3:45 Incorporating Spatial Dependence into Bayesian 8:30 am – 10:15 am Multiple Testing of Statistical Parametric Maps in Functional Neuroimaging Andrew Brown*, Clemson University 64. STATISTICAL LEARNING FOR COMPLEX Nicole A. Lazar and Gauri S. Datta, University of Georgia MULTIVARIATE BIOMEDICAL DATA Woncheol Jang, Seoul National University Grand Ballroom VIII (3rd Floor) Jennifer E. McDowell, University of Georgia Sponsors: ENAR, ASA Mental Health Statistics Section, 4:00 ASA Statistical Learning and Data Mining Section Multivariate Bayesian Censored Models for Organizer: Huaihou Chen, New York University Predicting Exposure to Multiple Chemical Agents Chair: Huaihou Chen, New York University Caroline Groth*, Sudipto Banerjee, Tran Huynh and Gurumurthy Ramachandran, University of Minnesota 8:30 Richard Kwok, National Institute of Environmental Health Linear Conditioning for Clustering Functional Data Sciences, National Institutes of Health Thaddeus Tarpey*, Wright State University Mark Stenzel, Exposure Assessment Applications, LLC Patricia Stewart, Stewart Exposure Assessments, LLC 8:55 Multiple Kernel Statistical Learning to Combine 4:15 Heterogeneous Data Sources for Prediction Methods in Functional Data Analysis for Curve Tianle Chen, Columbia University Comparison in Spectroscopic Protein Unfolding Donglin Zeng, University of North Carolina, Chapel Hill Data: Applications using Bayesian Inferential Yuanjia Wang*, Columbia University Methods Miranda L. Lynch*, 9:20 University of Connecticut Health Center Margin-based Learning of Minimum Clinically Important Difference 4:30 Tu Xu and Samad Hedayat, University of Illinois, Chicago Bayesian Variable Selection for High Dimensional Junhui Wang*, City University of Hong Kong Datasets in the Presence of Error-prone Time-to- event Outcomes Xiangdong Gu* and Raji Balasubramanian, University of Massachusetts, Amherst

* = Presenter | n = Student Award Winner PROGRAM 69 9:45 66. NEW DEVELOPMENTS IN STATISTICAL Dynamic Directional Model for Effective Brain Connectivity using Electrocorticographic (ECoG) METHODOLOGIES FOR THE ANALYSIS Time Series OF DISEASE DATA Tingting Zhang* and Jingwei Wu, University of Virginia Grand Ballroom II (3rd Floor) Fan Li, Duke University Dana Boatman-Reich and Brian Caffo, Sponsor: ENAR Johns Hopkins University Organizer: Sujay Datta, University of Akron Chair: Sujay Datta, University of Akron 10:10 Floor Discussion 8:30 Making the Cut: Improved Ranking and Selection in Large-scale Inference 65. STATISTICAL CHALLENGES IN STUDIES OF Nicholas Henderson and Michael A. Newton*, ENVIRONMENTAL, REPRODUCTIVE AND University of Wisconsin, Madison PERINATAL HEALTH 8:55 Harborside Room A (4th Floor) Generation of Virtual Control Groups for Single Sponsors: ENAR, ASA Section on Statistics Arm Prostate Cancer Adjuvant Trials and the Environment Zhenyu Jia*, University of Akron and Northeast Ohio Medical University Organizer: Kirsten Lum, Eunice Kennedy Shriver National Michael B. Lilly, Medical University of South Carolina Institute of Child Health and Human Development, Dan A. Mercola, University of California, Irvine National Institutes of Health Chair: Kirsten Lum, Eunice Kennedy Shriver National Institute 9:20 of Child Health and Human Development, National Institutes Differential Network Analysis using Microarray of Health Gene Expression Data Susmita Datta*, University of Louisville 8:30 The Current Duration Approach to Estimating 9:45 Time to Pregnancy Fused Lasso with the Adaptation of Parameter Niels Keiding*, University of Copenhagen, Denmark Ordering (FLAPO) in Meta Analysis of Repeated Measurements 8:55 Fei Wang, Ford Motor Credit Prediction of Fecundity Based on Joint Modeling Lu Wang and Peter XK Song*, University of Michigan of Multiple Time Scale Longitudinal Intercourse and Menstrual Cycle Characteristics 10:10 Rajeshwari Sundaram*, Eunice Kennedy Shriver National Floor Discussion Institute of Child Health and Human Development, National Institutes of Health

9:20 67. RECENT DEVELOPMENT AND APPLICATION OF Air Pollution Metric Analysis while Determining BAYESIAN METHODS FOR THE PROBABILITY Susceptible Periods of Pregnancy for Low Birth OF SUCCESS AND DECISION MAKING IN Weight and Birth Defects Montse Fuentes*, North Carolina State University CLINICAL TRIALS Joshua L. Warren and Amy H. Herring, University of North Harborside Room B (4th Floor) Carolina, Chapel Hill Sponsors: ENAR, ASA Section on Bayesian Statistical Peter H. Langlois, Texas Department of State Health Science, ASA Biopharmaceutical Section Services, Austin Organizer: Ming-Hui Chen, University of Connecticut 9:45 Chair: Mani Y. Lakshminarayanan, Pfizer Inc. Identifying “Bad Actors” in Mixtures of Prenatal Exposures Associated with Reproductive Health 8:30 using Weighted Quantile Sum Regression Using Prior Information to Help Determine Chris Gennings*, Virginia Commonwealth University Appropriate Metrics for Sound Decision Making Caroline K. Carrico, Health Diagnostics Laboratory in Drug Development Christy Chuang-Stein*, Pfizer Inc. 10:10 Floor Discussion

* = Presenter | n = Student Award Winner 70 ENAR 2014 | SPRING MEETING | MARCH 16–19 8:55 9:45 Average Power and Average Conditional Power Functional Prediction of Traffic Streams in Clinical Trial Design and Interim Analysis Jeng-Min Chiou*, Academia Sinica Kuang-Kuo G. Lan*, Janssen R&D, Johnson & Johnson 10:10 9:20 Floor Discussion Bayesian Probability of Success for Superiority Trials in the Presence of Historical Data Joseph G. Ibrahim*, University of North Carolina, 69. LATENT CLASS MODELS FOR DIAGNOSTIC Chapel Hill Ming-Hui Chen, University of Connecticut TESTING WITH APPLICATIONS IN PSYCHIATRY Mani Y. Lakshminarayanan, Guanghan Liu, Grand Ballroom IV (3rd Floor) Joseph F. Heyse, Merck, Inc. Sponsor: ENAR Organizer: Jeffrey Douglas, University of Illinois,

9:45 Urbana-Champaign Evaluating Regression-to-the-Mean of Treatment Effect from Phase 2 to Phase 3 Chair: Jeffrey Douglas, University of Illinois, Jianliang Zhang*, MedImmune, LLC Urbana-Champaign 8:30 10:10 Theory and Applications of the Self-learning Floor Discussion Q-matrix Jingchen Liu*, Columbia University

68. FUNCTIONAL DATA ANALYSIS: 8:55 SHOW ME THE DATA Making Computerized Adaptive Testing Grand Ballroom III (3rd Floor) a Diagnostic Tool Hua-Hua Chang*, University of Illinois, Urbana-Champaign Sponsors: IMS, ASA Biometrics Section, ASA Section on Ya-Hui Su, National Chung Cheng University Nonparametric Statistics Organizer: Ciprian Crainiceanu, Johns Hopkins University 9:20 Chair: Jaroslaw Harezlak, Indiana University School Heterogeneous Variance Classification Models for of Medicine Psychiatric Assessment Survey Data Jonathan Templin*, University of Kansas 8:30 Lesa Hoffman, Ryan Walters and Meghan Sullivan, CSI Statistics: Functional Data Analysis for University of Nebraska, Lincoln Dead Bodies John Aston*, University of Cambridge and 9:45 University of Warwick Use of Latent Product Lattice Classification Models Anjali Mazumder, University of Warwick for Self-reported Measures of Depression Anna Zylbersztejn, University of Warwick and Curtis Tatsuoka*, Case Western Reserve University University of Leicester 10:10 8:55 Floor Discussion Surviving in the ICU: The Case for Uneven Support Functional Data Analysis Ciprian Crainiceanu* and Jonathan Gellar, 70. STATISTICAL METHODS FOR BIOMARKER Johns Hopkins University EVALUATION 9:20 Grand Ballroom I (3rd Floor) Studying the Relationship Between Cerebral Sponsor: ENAR Vessel Morphology and Hemodynamic Forces in Arteries Affected by Aneurysms: Organizer: Shanshan Li, Indiana University, Fairbanks School A Spatial Functional Data Analysis Approach of Public Health Laura M. Sangalli*, Laboratory for Modeling and Chair: Mei-Cheng Wang, Johns Hopkins Bloomberg School Scientific Computing MOX, Italy of Public Health Bree Ettinger, Emory University Simona Perotto, Laboratory for Modeling and 8:30 Scientific Computing MOX, Italy Semi-parametric ROC Analysis using Accelerated Regression Models Eunhee Kim*, Brown University Donglin Zeng, University of North Carolina, Chapel Hill * = Presenter | n = Student Award Winner PROGRAM 71 8:55 9:30 Nonparametric ROC Based Evaluation for Semiparametric Group Testing Regression Models Survival Outcomes Dewei Wang*, Christopher S. McMahan Xiao Song*, University of Georgia and Colin M. Gallagher, Clemson University Xiao-Hua Zhou, Puget Sound Health Care System Kurunarathna B. Kulasekera, University of Louisville and University of Washington Shuangge Ma, Yale University 9:45 A Novel Pairwise Conditional Likelihood Ratio Test 9:20 in a Semiparametric Model for vQTL Mapping A Generalized C-index for Survival Data Chuan Hong* and Yong Chen, University of Texas School Patrick J. Heagerty*, University of Washington of Public Health, Houston Yang Ning, University of Waterloo 9:45 Peng Wei, University of Texas School of Public Health, Estimating Time-Dependent ROC Curve using Houston Data Under Outcome-Dependent Sampling Shanshan Li*, Indiana University Fairbanks School 10:00 of Public Health Fused Kernel-Spline Smoothing for Repeatedly Mei-Cheng Wang, Johns Hopkins Bloomberg School Measured Outcomes in a Generalized Partially of Public Health Linear Model with Functional Single Index Fei Jiang n, Rice University 10:10 Yanyuan Ma, Texas A & M University Floor Discussion Yuanjia Wang, Columbia University

71. CONTRIBUTED PAPERS: SEMI-PARAMETRIC 72. CONTRIBUTED PAPERS: JOINT MODELS FOR AND NON-PARAMETRIC MODELS LONGITUDINAL AND SURVIVAL DATA Grand Ballroom X (3rd Floor) Bristol Room (3rd Floor) Sponsor: ENAR Sponsor ENAR Chair: Mathew McLean, Texas A&M University Chair: Kush Kapur, Boston Children’s Hospital and Harvard Medical School 8:30 Robust Estimations of Scale, Dependence 8:30 and Correlation Based on Quick Estimators Joint Latent Class Models With Interval-Censored Lai Wei*, U.S. Food and Drug Administration Survival Data Alan Hutson, State University of New York at Buffalo Lan Kong* and Guodong Liu, The Pennsylvania State University College of Medicine 8:45 An RKHS Approach to Estimating 8:45 High-dimensional Graphs A Fast EM Algorithm for Fitting Joint Models Kuang-Yao Lee*, Yale University of a Binary Response and Multiple Longitudinal Bing Li, The Pennsylvania State University Covariates Subject to Detection Limits Hongyu Zhao, Yale University Paul W. Bernhardt*, Villanova University Daowen Zhang and Huixia J. Wang, North Carolina 9:00 State University Quantile Association Regression Models Ruosha Li* and Yu Cheng, University of Pittsburgh 9:00 Jason Fine, University of North Carolina, Chapel Hill Regression Modeling of Longitudinal Binary Outcomes with Outcome-Dependent Observation Times 9:15 n Calibrated Smoothed Bootstrap Kay See Tan , Andrea B. Troxel, Stephen E. Kimmel, Confidence Intervals Kevin G. Volpp and Benjamin French, University of Pennsylvania Perelman School of Medicine Santu Ghosh*, Wayne State University

* = Presenter | n = Student Award Winner 72 ENAR 2014 | SPRING MEETING | MARCH 16–19 9:15 9:15 Joint Model for a Diagnostic Test without Flexible Models for Comparing Cumulative a Gold Standard in the Presence of a Effects of Time-dependent Exposures Dependent Terminal Event Chenkun Wang*, Hai Liu and Sujuan Gao, Sheng Luo*, Xiao Su and Stacia DeSantis, University Indiana University School of Medicine of Texas, Houston and Richard M. Fairbank School of Public Health Xuelin Huang, Min Yi and Kelly Hunt, University of Texas MD Anderson Cancer Center 9:30 Instrumental Variables Estimation with 9:30 Some Invalid Instruments and Its Application Modeling Short- and Long-Term Characteristics to Mendelian Randomization of Follicle Stimulating Hormone as Predictors of Hyunseung Kang*, Anru Zhang, T. Tony Cai Severe Hot Flashes in Penn Ovarian Aging Study and Dylan S. Small, University of Pennsylvania Bei Jiang* and Naisyin Wang, University of Michigan Mary D. Sammel, University of Pennsylvania 9:45 Michael R. Elliott, University of Michigan Variable Selection for Case-Cohort Studies with A Diverging Number of Parameters 9:45 Ai Ni n and Jianwen Cai, Regression Analysis of Longitudinal Data with University of North Carolina, Chapel Hill Correlated Censoring and Observation Times Yang Li*, University of North Carolina, Charlotte 10:00 Haiying Wang, University of New Hampshire Weighted Model Selection for Fractional Jianguo Sun, University of Missouri, Columbia Polynomial Models Michael D. Regier*, Ruoxin Zhang and John Honaker, 10:00 West Virginia University Mixtures of Gaussian Processes Applied to Medical Monitoring of Lung Function Decline and Pulmonary Exacerbations in Cystic Fibrosis 74. CONTRIBUTED PAPERS: ADAPTIVE DESIGNS Leo L. Duan*, John P. Clancy and Rhonda D. Szczesniak, Cincinnati Children’s Hospital Medical Center AND RANDOMIZATION Atlantic Room (3rd Floor) Sponsor: ENAR 73. CONTRIBUTED PAPERS: STATISTICAL METHODS Chair: Qin Jiang, Pfizer Inc. IN EPIDEMIOLOGY 8:30 Grand Ballroom VII (3rd Floor) Two-Stage Adaptive Optimal Design with Fixed Sponsor: ENAR First Stage Sample Size Chair: Ming Wang, The Pennsylvania State University Adam Lane*, Cincinnati Children’s Hospital Medical Center Nancy Flournoy, University of Missouri 8:30 Comparing Parametric and Semi-Parametric 8:45 Phase II/III Seamless Adaptive Dose Selection Regression Models for a Skewed, Pooled Outcome Design for Longitudinal Patient Data Emily M. Mitchell*, National Institute of Child Health and Caitlyn Ellerbe*, Jordan Elm and Viswanathan Human Development, National Institutes of Health Ramakrishnan, Medical University of South Carolina Robert H. Lyles, Emory University Bruce Turnbull, Cornell University Michelle Danaher, Neil J. Perkins and Edward Jauch, Medical University of South Carolina Enrique F. Schisterman, National Institute of Child Health Stacia DeSantis, University of Texas Health Sciences and Human Development, National Institutes of Health Valerie Durkalski, Medical University of South Carolina

8:45 9:00 Effect Modification and Design Sensitivity in The Use of Decreasingly Informative Priors Observational Studies in Adaptive Clinical Trial Designs Jesse Y. Hsu*, Dylan S. Small and Paul R. Rosenbaum, Roy T. Sabo*, Virginia Commonwealth University University of Pennsylvania

9:00 Structural Nested Mean Model for Clustered Outcomes Jiwei He* and Marshall Joffe, University of Pennsylvania

* = Presenter | n = Student Award Winner PROGRAM 73 9:15 9:30 An Adaptive Bayesian Dose Finding Approach for A Simulation-based Comparative Study of the Drug Combinations with Drug-drug Interaction Relative Power of Family-based Association Tests Yang Yang*, University of Maryland, Baltimore County Jia Jia* and Daniel E. Weeks, University of Pittsburgh Hong-Bin Fang, Georgetown University Anindya Roy, University of Maryland, Baltimore County 9:45 Ming Tan, Georgetown University A DNA Variant Caller Adapted to Assess Mitochondrial DNA Variation from Whole-Genome 9:30 Sequencing Data Dose Escalation with Over-dose and Under-dose Jun Ding*, National Institute on Aging, National Controls for Phase I/II Clinical Trial Institutes of Health Zheng Li* and Michael Kutner, Emory University Carlo Sidore, Istituto di Ricerca Genetica e Biomedica, Ying Yuan, University of Texas MD Anderson Cancer Center Consiglio Nazionale delle Ricerche, Monserrato, Zhengjia Chen, Emory University Cagliari, Italy Osorio Meirelles, National Institute on Aging, National 9:45 Institutes of Health An Adaptive Treatment Strategy for the Mary Kate Wing, University of Michigan Management of White-Nose Syndrome Fabio Busonero, Istituto di Ricerca Genetica e Biomedica, Nick Meyer*, Eric Laber, Krishna Pacifici and Brian Reich, Consiglio Nazionale delle Ricerche, Monserrato, North Carolina State University Cagliari, Italy Ramaiah Nagaraja, National Institute on Aging, 10:00 National Institutes of Health Floor Discussion Francesco Cucca, Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Monserrato, Cagliari, Italy Goncalo R. Abecasis, University of Michigan 75. CONTRIBUTED PAPERS: NEXT GENERATION David Schlessinger, National Institute on Aging, SEQUENCING National Institutes of Health Grand Ballroom IX (3rd Floor) 10:00 Sponsor: ENAR Analysis of Sequence Data Under Multivariate Chair: Prasad Patil, Johns Hopkins University Trait-Dependent Sampling Ran Tao*, Donglin Zeng, Nora Franceschini 8:30 and Kari E. North, University of North Carolina, Chapel Hill Genotype Calling and Haplotyping in Extended Eric Boerwinkle, University of Texas Health Families Science Center, Houston Lun-Ching Chang, University of Pittsburgh Dan-Yu Lin, University of North Carolina, Chapel Hill Bingshan Li, Vanderbilt University George C. Tseng and Wei Chen*, University of Pittsburgh

8:45 Meta-Analysis of Sequencing Studies Under Random-Effects Models Zheng-Zheng Tang* and Dan-Yu Lin, University of North Carolina, Chapel Hill

9:00 Likelihood Based Complex Trait Association Testing for Arbitrary Depth Sequencing Data Song Yan* and Yun Li, University of North Carolina, Chapel Hill

9:15 Design Issue and Power Calculation in RNA-seq Applications Chien-Wei Lin* and George C. Tseng, University of Pittsburgh

* = Presenter | n = Student Award Winner 74 ENAR 2014 | SPRING MEETING | MARCH 16–19 76. CONTRIBUTED PAPERS: STATISTICAL METHODS Tuesday, March 18 FOR SURVIVAL ANALYSIS Chasseur Room (3rd Floor) 10:15 am – 10:30 am Sponsor: ENAR Refreshment Break with Our Exhibitors Chair: Jennifer Sinnott, Harvard University Grand Ballroom Foyer (3rd Floor) 8:30 Distributional Properties and Peculiarities in HPP-Based Recurrent Event Models Piaomu Liu* and Edsel A. Peña, University of Tuesday, March 18 South Carolina, Columbia 10:30 am – 12:15 pm

8:45 Vertical Modeling: Analysis of Multi-state Data 77. PRESIDENTIAL INVITED ADDRESS with a Cured Fraction Grand Ballroom (3rd Floor) Mioara Alina Nicolaie* and Catherine Legrand, Université catholique de Louvain Sponsor: ENAR Organizer/Chair: DuBois Bowman, Columbia University 9:00 Sequential Stratification for Recurrent 10:30 Event Outcomes Introduction Abigail Smith* and Douglas Shaubel, University of Michigan 10:35 Distinguished Student Paper Awards 9:15 10:45 Random Survival Forests for Interval-censored A Significance Test for the Lasso Outcomes in the Presence of Imperfect Robert J. Tibshirani, PhD, Department of Statistics and Diagnostic Tests Health Research and Policy, Stanford University Hui Xu*, Xiangdong Gu and Raji Balasubramanian, University of Massachusetts, Amherst

9:30 Tuesday, March 18 Analysis of MD STARnet Data Ke Liu*, Ying Zhang, Paul Romitti, Soman Puzhankara 1:45 pm – 3:30 pm and Kristin Caspers, University of Iowa Elinora Price, Jennifer Andrews and Chris Cunniff, University of Arizona 78. JABES INVITED SESSION 9:45 Grand Ballroom VIII (3rd Floor) Time-Dependent Tree-Structured Survival Analysis with Unbiased Variable Selection Sponsors: ENAR, ASA Section on Statistics Meredith L. Wallace*, University of Pittsburgh and the Environment, ASA Government Statistics Section Organizer: Montserrat Fuentes, North Carolina 10:00 State University Quantile Regression in Semiparametric Chair: Montserrat Fuentes, North Carolina State University Varying-Coefficient Partially Linear Models for Right Censored Length-biased Data 1:45 Xuerong Chen, Georgetown University Estimating Velocity for Processive Motor Proteins Yeqian Liu* and Jianguo Sun, University of Missouri, with Random Detachment Columbia John Hughes*, University of Minnesota Yong Zhou, Chinese Academy of Sciences, Beijing Shankar Shastry, William O. Hancock and John Fricks, The Pennsylvania State University

* = Presenter | n = Student Award Winner PROGRAM 75 2:10 2:35 Bayesian 2-stage Space-Time Mixture Modeling Multiple Imputation Via Flexible, Joint Models with Spatial Misalignment Jerome Reiter*, Duke University Andrew B. Lawson*, Medical University of South Carolina Jungsoon Choi, Hangyang University, Korea 3:00 Bo Cai, University of South Carolina, Columbia On the Use of Box-Cox Transformation for Missing Monir Hossain, University of Cincinnati Data Imputation Russell Kirby, University of South Florida Yulei He*, Don Malec and Nathaniel Schenker, National Jihong Liu, University of South Carolina, Columbia Center for Health Statistics, Centers for Disease Control and Prevention 2:35 Identifying Genes that are Differentially Expressed 3:25 in Both of Two Independent Experiments Floor Discussion Megan Orr*, North Dakota State University Peng Liu and Dan Nettleton, Iowa State University 80. BIG DATA METHODS IN BIOSTATISTICS 3:00 A Bayesian Approach to Fitting Gibbs Processes Grand Ballroom II (3rd Floor) with Temporal Random Effects Generalisations Sponsors: IMS, ASA Statistical Learning and Challenges and Data Mining Section, ASA Biopharmaceutical Section Ruth King, Janine B. Illian*, Stuart E. King Organizer: Babak Shahbaba, University of California, Irvine and Glenna F. Nightingale, University of St Andrews Ditte K. Hendrichsen, Norwegian Institute for Chair: Babak Shahbaba, University of California, Irvine Nature Research 1:45 Some Post-GWAS Strategies for Identifying the 3:25 Remaining Genetic Determinants Floor Discussion Zhaoxia Yu*, University of California, Irvine

2:10 79. RECENT ADVANCES IN STATISTICAL METHODS Interactive, Exploratory Visualization and FOR MISSING DATA Statistical Analysis of Genome-Scale Data Hector Corrada Bravo* and Florin Chelaru, Grand Ballroom III (3rd Floor) University of Maryland, College Park Sponsors: ENAR, ASA Biometrics Section, ASA Government Statistics Section 2:35 Organizer: Qi Long, Emory University A Semiparametric Bayesian Model for Chair: Pallavi Mishra-Kalyani, Emory University Detecting Multiway Synchrony Among Neurons Babak Shahbaba*, Bo Zhou, Shiwei Lan 1:45 and Hernando Ombao, University of California, Irvine Identification and Multiple Imputation of David Moorman, Medical University of South Carolina Implausible Gestational Ages for the Study of Sam Behseta, Cal State Fullerton Preterm Births Nathaniel Schenker*, National Center for Health Statistics, 3:00 Centers for Disease Control and Prevention Algebraic Properties and Fast Large Covariance Estimation 2:10 Xi Luo*, Brown University Adjusting for Verification Bias in Estimation of Covariate-specific Areas under the ROC Curves 3:25 Xiao-Hua A. Zhou*, University of Washington Floor Discussion Danping Liu, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health

* = Presenter | n = Student Award Winner 76 ENAR 2014 | SPRING MEETING | MARCH 16–19 81. STATISTICAL PREDICTION MODELS FOR 2:10 The Magic of Score Statistics MEDICAL DECISION MAKING Danyu Lin*, University of North Carolina, Chapel Hill Grand Ballroom IV (3rd Floor) Sponsors: ENAR, ASA Mental Health Statistics Section 2:35 Assessing the Sensitivity of Genetic Organizer: Jing Ning, University of Texas Associations to Unmeasured Confounding MD Anderson Cancer Center Under a Causal Framework Chair: Jing Ning, University of Texas Nandita Mitra*, University of Pennsylvania MD Anderson Cancer Center Elizabeth Handorf, Fox Chase Cancer Center Peter Kanetsky and Steve Kawut, University 1:45 of Pennsylvania Dynamic Prediction of Survival Outcomes and Medical Decision Making 3:00 Xuelin Huang*, Sangbum Choi and Jing Ning, Robust and Powerful Sibpair Test for Rare University of Texas MD Anderson Cancer Center Variant Association Keng-Han Lin and Sebastian Zoellner*, University 2:10 of Michigan Statistical Prediction Models for Medical Decision Making 3:25 Michael W. Kattan*, Cleveland Clinic Floor Discussion 2:35 ROC Analysis for Multiple Markers with 83. IMPROVED STATISTICAL MODELING AND Tree-based Classification Mei-Cheng Wang*, Johns Hopkins University UNDERSTANDING OF GENE EXPRESSION AND Shanshan Li, Indiana University Fairbanks TRANSCRIPTION REGULATION USING NEXT School of Public Health GENERATION SEQUENCING AND OTHER HIGH 3:00 THROUGHPUT TECHNOLOGIES Efficient Evaluation of Risk Markers for Censored Grand Ballroom VI (3rd Floor) Failure Time Outcome: Analyses and Designs Sponsor: ENAR Yingye Zheng*, Fred Hutchinson Cancer Research Center Tianxi Cai, Harvard School of Public Health Organizer: Michael Y. Zhu, Purdue University Chair: Zhaohui Qin, Emory University 3:25 Floor Discussion 1:45 Deconvolution of Base Pair Level RNA-Seq Read Counts for Quantification of Transcript 82. RECENT DEVELOPMENTS IN STATISTICAL Expression Levels GENETICS, GENOMICS, AND THEIR APPLICATIONS Han Wu* and Yu Zhu, Purdue University Grand Ballroom V (3rd Floor) 2:10 Sponsors: ENAR, ASA Biometrics Section Accounting for Nuisance Covariates when using RNA-Seq Data to Identify Differentially Organizer: Mingyao Li, University of Pennsylvania Expressed Genes School of Medicine Dan Nettleton* and Yet Nguyen, Iowa State University Chair: Mingyao Li, University of Pennsylvania School of Medicine 2:35 Bayesian Models for Integrative Genomics 1:45 Marina Vannucci* and Alberto Cassese, Rice University Joint Analysis of SNP and Gene Expression Data Michele Guindani, University of Texas in Genetic Association Studies of Complex Diseases MD Anderson Cancer Center Using Causal Mediation Analysis Yen-Tsung Huang, Brown University Tyler VanderWeele and Xihong Lin*, Harvard School of Public Health

* = Presenter | n = Student Award Winner PROGRAM 77 3:00 85. INNOVATIVE BAYESIAN NONPARAMETRICS Understanding Spatial Organizations of Chromosomes via Statistical Analysis of Hi-C Data IN BIOSTATISTICS Ming Hu*, New York University Grand Ballroom I (3rd Floor) Ke Deng, Tsinghua University Sponsors: ENAR, ASA Section on Bayesian Statistical Zhaohui Qin, Emory University Science, ASA Biometrics Section Jun S. Liu, Harvard University Organizer: Michael Daniels, University of Texas, Austin 3:25 Chair: Antonio Linero, University of Florida Floor Discussion 1:45 Longitudinal Data Analysis using a Random Partition Model with Regression on Covariates 84. STATISTICAL CHALLENGES IN PUBLIC HEALTH Gary L. Rosner*, Johns Hopkins University RESEARCH AT THE CDC Peter Mueller, University of Texas, Austin Grand Ballroom VII (3rd Floor) Fernando Quintana, Pontificia Universidad Catolica de Chile Sponsors: ENAR, ASA Government Statistics Section Michael Maitland, University of Chicago Organizer: Simone Gray, Centers for Disease Control and Prevention 2:10 Chair: Dr. Craig Borkowf, Centers for Disease Control A Bayesian Feature Allocation Model for and Prevention Tumor Heterogeneity Peter Mueller*, University of Texas, Austin 1:45 Juhee Lee, University of California, Santa Cruz Exploring the Optimal Allocation of Sample Sizes Yuan Ji, NorthShore University Health System in Dual-Frame RDD Telephone Surveys Haci Akcin, Centers for Disease Control and Prevention 2:35 Denise Bradford*, Northrop Grumman CANCELLED A Bayesian Nonparametric Approach to Monotone Missing Data in Longitudinal Studies 2:10 with Informative Missingness Area Level Models for County Level Prevalence Antonio Linero, University of Florida Estimates using Publically Available BRFSS Data Michael Daniels*, University of Texas, Austin Betsy L. Cadwell*, Theodore J. Thompson and Lawrence E. Barker, Centers for Disease Control 3:00 and Prevention Bayesian Quantile Regression for Censored Data Brian J. Reich* and Luke B. Smith, North Carolina 2:35 State University Multiple Imputation of Linked National Health Interview Survey and Medicare data files 3:25 Guangyu Zhang*, Jennifer D. Parker Floor Discussion and Nathaniel Schenker, National Center for Health Statistics, Centers for Disease Control and Prevention 86. CONTRIBUTED PAPERS: NEW DEVELOPMENTS 3:00 Using Longitudinal Data Analysis to Link Policy IN SURVIVAL ANALYSIS and Legislation to Public Health Impacts Grand Ballroom X (3rd Floor) Simone Gray*, Patricia Sweeney, Joseph Prejean, Sponsor: ENAR David W. Purcell, Aruna Surendera Babu, Brett Williams, Jenny Sewell and Jonathan Mermin, Centers for Disease Chair: Adin-Cristian Andrei, Bluhm Cardiovascular Institute Control and Prevention 1:45 A Local Agreement Index Based on Hazard 3:25 Functions for Survival Outcomes Discussant: Craig Borkowf, Centers for Disease Tian Dai* and Ying Guo, Emory University Control and Prevention 2:00 A Frailty Model for Bivariate Interval-censored Data Allowing Weak Dependence and Independence Naichen Wang* and Lianming Wang, University of South Carolina

* = Presenter | n = Student Award Winner 78 ENAR 2014 | SPRING MEETING | MARCH 16–19 2:15 2:30 Survival Analysis with Correlated Frailties Regression Analysis of Sequentially Randomized and the Bootstrap Trials through Artificial Randomization J. C. Loredo-Osti*, Memorial University Semhar B. Ogbagaber* and Abdus S. Wahed, University of Pittsburgh 2:30 Semiparametric Methods to Contrast Restricted 2:45 Mean Gap Times Why Do Treatments Work Differently for Xu Shu n and Douglas E. Schaubel, University of Michigan Some People? Understanding Treatment-effect Mechanisms in Stratified Medicine 2:45 Sabine Landau*, King’s College London Extending the Peters-Belson Approach Richard Emsley, Hanhua Liu and Graham Dunn, for Assessing Disparities to Right Censored University of Manchester, United Kingdom Time-to-Event Outcomes Lynn E. Eberly*, James S. Hodges, Kay Savik, 3:00 Olga Gurvich and Donna Z. Bliss, University of Minnesota Inference for Surrogate Endpoint Validation in the Binary Case 3:00 Ionut Bebu*, Uniformed Services University of the Consistency on Change-point Estimators Health Sciences on Hazard Regression Models with Long-term Thomas Mathew, University of Maryland Baltimore County Survivors and Right Censoring Brian K. Agan, Uniformed Services University of the Wei Zhang* and Lianfen Qian, Florida Atlantic University Health Sciences

3:15 3:15 Nonparametric Estimation of Quantile Residual Life Longitudinal Analyses of the Causal Path Between for Length-Biased Survival Data Multiple Sclerosis and Depression using Structural Samia H. Lopa* and Jong-Hyeon Jeong, University of Equation Modeling Pittsburgh Douglas Gunzler*, Case Western Reserve University

87. CONTRIBUTED PAPERS: CAUSAL INFERENCE 88. CONTRIBUTED PAPERS: NON-PARAMETRIC Atlantic Room (3rd Floor) ANALYSIS OF BIOMEDICAL DATA Sponsor: ENAR Bristol Room (3rd Floor) Chair: Jessica G. Young, Harvard School of Public Health Sponsor: ENAR Chair: Leo Duan, Cincinnati Children’s Hospital Medical Center 1:45 Estimation of the Optimal Regime in Treatment 1:45 of Prostate Cancer Recurrence from Observational A Spatio-Temporal Nonparametric Bayesian Data using Flexible Weighting Models Variable Selection Model of fMRI Data for Jincheng Shen*, Lu Wang and Jeremy M.G. Taylor, Clustering Correlated Time Courses University of Michigan Linlin Zhang*, Rice University Michele Guindani, University of Texas 2:00 MD Anderson Cancer Center A Simulation Study of a Multiply-Robust Approach Marina Vannucci, Rice University for Causal Inference with Missing Covariates Jia Zhan* and Changyu Shen, Indiana University 2:00 School of Medicine Inferences about the Mean Area Under the Lingling Li, Harvard Medical School Curve in Pre-Clinical Destructive Sampling Designs Xiaochun Li, Indiana University School of Medicine Yi Shi*, State University of New York at Buffalo Rameela Chandrasekhar, Vanderbilt University 2:15 Alan Hutson and Gregory Wilding, State University Estimating Causal Treatment Effect for Complex of New York at Buffalo Intervention Study Designs Pan Wu*, Christiana Care Health System 2:15 Investigating a Method for Testing a Hypothesis about the Ratio of Two Medians using Conover’s Rank Transformation Method Donald J. Schuirmann*, U.S. Food and Drug Administration

* = Presenter | n = Student Award Winner PROGRAM 79 2:30 2:15 Restricted Confidence Intervals for Ordered Binary Statistical Approaches for Exploring Brain and Survival Data Connectivity with Multi-Modal Neuroimaging Data Yongseok Park*, University of Pittsburgh Phebe B. Kemmer* and Ying Guo Emory University Jeremy M G Taylor, University of Michigan F. DuBois Bowman, Columbia University

2:45 2:30 Novel Algorithm for Stratifying Patients into Spatially Regularizing High Angular Resolution Survival Risk Groups using Mutation Data at Diffusion Imaging Selected Genes Shangbang Rao*, Hongtu Zhu, Jian Cheng, Irina Ostrovnaya*, Sean Devlin and Mithat Gönen, Pew-Thian Yap and Joseph Ibrahim, University of North Memorial Sloan-Kettering Cancer Center Carolina, Chapel Hill

3:00 2:45 Two-sample Parameter Estimation using Empirical Parametrization of White Matter Manifold-like Characteristic Functions Structures using Principal Surfaces Cornelis J. Potgieter*, Southern Methodist University Chen Yue* and Vadim Zipunnikov, Johns Hopkins Fred Lombard, North-West University, Potchefstroom, University South Africa Pierre-Louis Bazin, Max Planck Institute Dzung Pham and Daniel S. Reich, National Institute 3:15 of Neurological Disorders and Stroke, National Institutes Multiple Imputation Methods for Nonparametric of Health Inference on Cumulative Incidence with Missing Ciprian Crainiceanu and Brian Caffo, Johns Hopkins Cause of Failure University Minjung Lee*, Seoul National University James J. Dignam, University of Chicago 3:00 Junhee Han, University of Arkansas, Fayetteville Predicting Enhancement in Magnetic Resonance Images using Scan Stratified Case Control Sampling Gina-Maria Pomann*, North Carolina State University 89. CONTRIBUTED PAPERS: HIGH DIMENSIONAL Elizabeth M. Sweeney, Johns Hopkins University Russel (Taki) Shinohara, University of Pennsylvania IMAGING DATA Ana-Maria Staicu, North Carolina State University Grand Ballroom IX (3rd Floor) Daniel S. Reich, National Institute of Neurological Sponsor: ENAR Disorders and Stroke, National Institutes of Health Chair: Feng Liu, University of North Carolina, Chapel Hill 3:15 1:45 Persistence Landscape of Functional Signal and Its A Parallel Group Independent Component Application to Epileptic Electroencaphalogram Data Analysis Algorithm Yuan Wang n, University of Wisconsin, Madison Shaojie Chen*, Lei Huang, Huitong Qiu, Ani Eloyan and Hernando Ombao, University of California, Irvine Brian Caffo, Johns Hopkins University Moo K. Chung, University of Wisconsin, Madison

2:00 Ultra-high Dimensional Test Via Sparse Projections Qiang Sun*, Hongtu Zhu and Joseph G. Ibrahim, University of North Carolina, Chapel Hill

* = Presenter | n = Student Award Winner 80 ENAR 2014 | SPRING MEETING | MARCH 16–19 90. CONTRIBUTED PAPERS: NEW METHODS Tuesday, March 18 IN GENOMICS Chasseur Room (3rd Floor) 3:30 pm – 3:45 pm Sponsor: ENAR Refreshment Break with Our Exhibitors Chair: Emily Huang, Stony Brook University Grand Ballroom Foyer (3rd Floor) 1:45 Inference of Epigenetic Modulation of Gene Expression with Meta-pathway Analysis Elana J. Fertig*, Johns Hopkins University Tuesday, March 18 Ana Markovic, University of California, San Francisco 3:45 pm – 5:30 pm Ludmila V. Danilova, Daria A. Gaykalova, Leslie Cope, Christine H. Chung and Joseph A. Califano, Johns Hopkins University 91. IMS MEDALLION LECTURE Michael F. Ochs, The College of New Jersey Grand Ballroom VI (3rd Floor) 2:00 Sponsor: IMS Integrative Modeling of Multiplatform Chair: Daniel Scharfstein, Johns Hopkins University Genomic Data School of Public Health Yen-Tsung Huang*, Brown University 3:45 2:15 Statistical Genetics and Genomics in the Big The Most Informative Spacing Test as an Outlier Data Era: Opportunities and Challenges in and Subgroup Identification Method Research and Training Iwona Pawlikowska*, Gang Wu, Michael Edmonson, Xihong Lin*. Harvard School of Public Health Tanja Gruber, Jinghui Zhang and Stan Pounds, St. Jude Children’s Research Hospital 92. PARAMETRIC OR NONPARAMETRIC; 2:30 WHICH IS THE ANSWER? Cross-Platform Gene Expression Profile Classification using Top-Scoring Pairs Grand Ballroom VII (3rd Floor) Prasad Patil*, Johns Hopkins School of Public Health Sponsors: ENAR, ASA Mental Health Statistics Section, Benjamin Haibe-Kains, Institut de Recherches Clinques Non-Parametric de Montreal Organizer: Zhehui Luo, Michigan State University Jeffrey T. Leek, Johns Hopkins School of Public Health Chair: Zhehui Luo, Michigan State University

2:45 3:45 A Survival Copula Mixture Model for Comparing Super Learning to Hedge Against Incorrect Two Genomic Rank List Inference from Arbitrary Parametric Assumptions Yingying Wei* and Hongkai Ji, Johns Hopkins University in Marginal Structural Modeling Romain Neugebauer*, Kaiser Permanente 3:00 An Integrated Method for Detecting MicroRNA 4:10 Target Proteins through Reverse-phase Protein Fitting ICU Data Complexity: Need for Lysate Arrays Innovative Prediction Tools Mortality Prediction Jiawen Zhu*, Song Wu and Jie Yang, Stony by SuperLearner Brook University Romain Pirracchio*, Hôpital Saint Louis, Paris, France Maya Petersen, University of California, Berkeley 3:15 Sylvie Chevret, Hôpital Saint Louis, Paris, France Testing in Metagenomic Profiling Studies Mark van der Laan, University of California, Berkeley with the Microbiota Regression-based Kernel Association Test (MiRKAT) 4:35 Ni Zhao* and Michael C. Wu, Fred Hutchinson Cancer Sensitivity Analysis for Causal Inference under Research Center Unmeasured Confounding and Measurement Error Problems Iván Díaz*, Johns Hopkins Bloomberg School of Public Health Mark van der Laan, University of California, Berkeley

* = Presenter | n = Student Award Winner PROGRAM 81 5:00 94. ADVANCES IN TIME SERIES ANALYSIS OF From Causal Roadmaps to Hedging Your Bets in the Adventures of Comparative Effectiveness Research: BIOMEDICAL SIGNALS An Illustration using an Effect Modification Analysis Grand Ballroom III (3rd Floor) of Star*D Sponsors: ENAR, ASA Section on ASA Section on Statistics Wenjing Zheng, University of California, Berkeley in Imaging Zhehui Luo*, Michigan State University Mark van der Laan, University of California, Berkeley Organizer: Robert Krafty, Temple University Chair: Sarah Ratcliffe, University of Pennsylvania 5:25 Floor Discussion 3:45 Spatial Identification of Epileptic Brain Regions Giovanni Motta*, Columbia University 93. CAUSAL INFERENCE IN HIGH DIMENSIONAL Michael M. Haglund and Daryl Hochman, Duke University SETTINGS 4:10 Grand Ballroom II (3rd Floor) Time Series Analysis of Molecular Sponsors: ENAR, ASA Section on ASA Section on Statistics Motor-Cargo Complexes John Fricks*, The Pennsylvania State University in Imaging Organizer: Yenny WebbVargas, Johns Hopkins School of 4:35 Public Health Penalized Multivariate Whittle Likelihood Chair: Bruce Swihart, Johns Hopkins School of Public Health for Power Spectrum Estimation Robert T. Krafty*, Temple University 3:45 William O. Collinge, University of Pittsburgh Calibrated Observational Studies David Madigan*, Columbia University 5:00 A Bayesian Model of Activation and Functional 4:10 Connectivity for Event-Related fMRI Connectivity and Causality in Brain Imaging Wesley K. Thompson*, University of California, San Diego Martin A. Lindquist*, Johns Hopkins Bloomberg School of Public Health 5:25 Floor Discussion 4:35 Causal Inference for fMRI Time Series Data with Systematic Errors of Measurement in a Balanced On/Off Study of Social Evaluative Threat 95. FRONTIERS IN STATISTICAL GENETICS Michael E. Sobel*, Columbia University FOR COMPLEX TRAIT ASSOCIATION Martin A. Lindquist, Johns Hopkins Bloomberg School Grand Ballroom V (3rd Floor) of Public Health Sponsor: ENAR 5:00 Organizer: Yijuan Hu, Emory University Data Adaptive Target Parameters in Causal Chair: Yijuan Hu, Emory University Inference Alan E. Hubbard* and Mark van der Laan, University 3:45 of California, Berkeley Genetic Architecture of Complex Traits: Implications for Discovery, Prediction 5:25 and Prevention Floor Discussion Nilanjan Chatterjee*, National Cancer Institute, National Institutes of Health JuHyun Park, Dongukk University, South Korea

4:10 Statistical Approaches for Rare-Variant Association Testing in Families Michael P. Epstein*, Emory University

4:35 A Novel Collapsing Method for Rare Copy Number Variants Jung-Ying Tzeng*, North Carolina State University Jin P. Szatkiewicz and Patrick F. Sullivan, University of North Carolina, Chapel Hill * = Presenter | n = Student Award Winner 82 ENAR 2014 | SPRING MEETING | MARCH 16–19 5:00 97. MODELING NEUROLOGICAL DISEASES WITH Testing Association without Calling Genotypes Allows for Systematic Differences in Read IMAGING DATA Depth and Sequencing Error Rate between Harborside Room B (4th Floor) Cases and Controls Sponsors: ENAR, ASA Section on Statistics in Imaging, Glen A. Satten*, Centers for Disease Control and Prevention ASA Biometrics Section Richard Johnston and Peizhou Liao, Emory University Organizer: Jeff Goldsmith, Columbia University Yu Jiang and Andrew S. Allen, Duke University Chair: Daniel B. Shin, University of Pennsylvania Yijuan Hu, Emory University 3:45 5:25 Developmental Disorders and Neuroimaging: Floor Discussion Tools, Results and Issues Brian S. Caffo*, Johns Hopkins Bloomberg School of Public Health 96. FUNCTIONAL DATA APPROACHES TO NEUROLOGICAL AND MENTAL DISEASE 4:10 Learning Brain Connectivity Network of Depression Harborside Room A (4th Floor) via Multi-Attribute Canonical Correlation Graphs Sponsors: ENAR, ASA Mental Health Statistics Section, Jian Kang*, Emory University ASA Section on Statistics in Imaging, ASA Section on Han Liu, Princeton University Nonparametric Statistics DuBois F. Bowman, Columbia University Organizer: Russell Shinohara, University of Pennsylvania Helen S. Mayberg, Emory University

Chair: Adam Ciarleglio, New York University 4:35 3:45 Normalization Techniques for Statistical Inference Distance Splines, Nonparametric Functional from Magnetic Resonance Imaging Regression, and Multimodal Neuroimaging Russell T. Shinohara*, University of Pennsylvania Philip T. Reiss*, New York University and Elizabeth M. Sweeney, Johns Hopkins University Nathan Kline Institute Jeff Goldsmith, Columbia University Lei Huang, Johns Hopkins University Navid Shiee, Henry M. Jackson Foundation Huaihou Chen, New York University Farrah J. Mateen, Harvard University David L. Miller, University of St Andrews Peter A. Calabresi and Samson Jarso, Johns Hopkins University Dzung L. Pham, Henry M. Jackson Foundation 4:10 Daniel S. Reich, National Institute of Neurological Assessing Systematic Effects of Stroke on Motor Disorders and Stroke, National Institutes of Health Control using Hierarchical Function-on-Scalar Ciprian M. Crainiceanu, Johns Hopkins University Regression Jeff Goldsmith* and Tomoko Kitago, Columbia University 5:00 Voxel-wise Marginal Longitudinal Modelling 4:35 of Brain Atrophy Data Flexible Concurrent Regression Models for Bryan Guillaume, University of Warwick and Université Functional Data de Liège Janet Kim, Ana-Maria Staicu* and Arnab Maity, North Thomas E. Nichols*, University of Warwick Carolina State University Lourens Waldorp, University of Amsterdam

5:00 5:25 Biosignatures Based on Imaging Data Floor Discussion Todd Ogden*, Columbia University Adam Ciarleglio and Eva Petkova, New York University Thaddeus Tarpey, Wright State University

5:25 Floor Discussion

* = Presenter | n = Student Award Winner PROGRAM 83 98. MAKING SENSE OF SENSORS: STATISTICAL 4:15 Semiparametric Extreme-value Regression Model METHODS FOR WEARABLE COMPUTING for Analyzing Biomarker-defined Time-to-Event Grand Ballroom I (3rd Floor) Noorie Hyun*, Donglin Zeng and David J. Couper, Sponsor: ENAR University of North Carolina, Chapel Hill Organizer: Vadim Zipunnikov, Johns Hopkins Bloomberg 4:30 School of Public Health Spatial Extended Hazard Model with Application Chair: Sherri Rose, Harvard School of Medicine to South Carolina Prostate Cancer Data Li Li*, University of South Carolina 3:45 ActiVis: An R Package for Visualizing Functional 4:45 Actigraphy Data Local Polynomial Density Estimation with Interval Abbass Sharif*, University of Southern California Censored Data Juergen Symanzik, Utah State University Derick R. Peterson*, University of Rochester Mark J. van der Laan, University of California, Berkeley 4:10 From Humans to Monkeys and Back: Physical 5:00 Activity Patterns in Humans and Primates Stacking Survival Models Vadim Zipunnikov*, Johns Hopkins University Andrew Wey*, John Connett and Kyle Rudser, Jeff Goldsmith, Columbia University University of Minnesota Haochang Shou and Ciprian Crainiceanu, Johns Hopkins University 5:15 Semiparametric Approach for Regression with 4:35 Covariate Subject to Limit of Detection Measurement Error Models for Physical Activity: Shengchun Kong* and Bin Nan, University of Michigan Accelerometers and Self Report John W. Staudenmayer*, University of Massachusetts, Amherst 100. CONTRIBUTED PAPERS: PERSONALIZED 5:00 MEDICINE Statistical Methods for Development and Temporal Grand Ballroom VIII (3rd Floor) Organization of Repetitive Behavior Sponsor: ENAR Nikolay Bliznyuk*, Isaac H. Duerr, Amber Muehleman Chair: Susan Wei, University of North Carolina, Chapel Hill and Mark Lewis, University of Florida 3:45 5:25 Combining Biomarkers to Optimize Patient Floor Discussion Treatment Recommendations Chaeryon Kang*, Holly Janes and Ying Huang, Fred Hutchinson Cancer Research Center 99. CONTRIBUTED PAPERS: SURVIVAL ANALYSIS Grand Ballroom IV (3rd Floor) 4:00 Simple Approximations to Optimal Treatment Sponsor: ENAR Regimes in Randomized Clinical Trial Data Chair: J C. Loredo-Osti, Memorial University Jared C. Foster*, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National 3:45 Institutes of Health A Semiparametric Bayesian Approach to Modelling Bin Nan and Jeremy MG Taylor, University of Michigan Destructive Weighted Poisson Cure Rate Model Arpita Chatterjee*, Georgia Southern University 4:15 Narayanaswamy Balakrishnan, McMaster University Regularized Outcome Weighted Subgroup Identification for Differential Treatment Effects 4:00 Yaoyao Xu n, Menggang Yu, Yingqi Zhao, Quefeng Li Support Vector Hazards Regression for Predicting and Jun Shao, University of Wisconsin, Madison Survival Outcome n Xiaoxi Liu , University of North Carolina, Chapel Hill 4:30 Yuanjia Wang, Columbia University Finding Optimal Treatment Dose using Outcome Donglin Zeng, University of North Carolina, Chapel Hill Weighted Learning Guanhua Chen*, Donglin Zeng and Michael R. Kosorok, University of North Carolina, Chapel Hill

* = Presenter | n = Student Award Winner 84 ENAR 2014 | SPRING MEETING | MARCH 16–19 4:45 4:45 Assessing the Heterogeneity of Treatment Effects Spatially Varying Distributed Lag Models via Potential Outcomes of Individual Patients Jongyu Baek*, Brisa Sanchez and Veronica Berrocal, Zhiwei Zhang*, U.S. Food and Drug Administration University of Michigan Chenguang Wang, Johns Hopkins University School of Medicine 5:00 Lei Nie and Guoxing Soon, U.S. Food and Drug Efficient Data-Driven Knot Selection for Reduced Administration Rank Spatial Models Casey M. Jelsema* and Shyamal D. Peddada, 5:00 National Institute of Environmental Health Sciences, Identifying Subpopulations with Differential Risk National Institutes of Health Benefit Profiles Junlong Li* and Tianxi Cai, Harvard School of Public 5:15 Health Spatiotemporal Hurdle Models for Zero-inflated Count Data: Exploring Trends in Emergency 5:15 Department Visits Active Learning Clinical Trials for Personalized Brian Neelon*, Duke University Medicine Howard H. Chang and Qiang Ling, Emory University Yingqi Zhao*, University of Wisconsin, Madison Nicole Hastings, Duke University Stanislav Minsker, Duke University Guang Cheng, Purdue University 102. CONTRIBUTED PAPERS: STATISTICAL 101. CONTRIBUTED PAPERS: SPATIAL TEMPORAL METHODS IN CANCER APPLICATIONS MODELS Grand Ballroom X (3rd Floor) Sponsor: ENAR Grand Ballroom IX (3rd Floor) Chair: Minsun Song, National Cancer Institute, National Sponsor: ENAR Institutes of Health Chair: Helen Louise Powell, Johns Hopkins Bloomberg School of Public Health 3:45 High-dimensional Nonparametric Surface 3:45 Estimation with Applications to Drug Combination A Bayesian Hierarchical Spatial Model for Dental Studies Caries Assessment using Non-gaussian Markov Xuerong Chen*, Hong-Bin Fang and Ming Tan, Random Fields Georgetown University Ick Hoon Jin* and Ying Yuan, University of Texas MD Anderson Cancer Center 4:00 Dipankar Bandyopadhyay, University of Minnesota Meta-analysis Sparse K-means Framework for Disease Subtype Discovery 4:00 Zhiguang Huo* and George C. Tseng, Spatial Analysis of Hotel Room Rate: Evidence from University of Pittsburgh Star Rated Hotels in Beijing Chuan Wang*, University of Florida 4:15 Yang Yang, Temple University Identifying Driver Genes from Somatic Mutations: An Integrative Model-Based Approach 4:15 Keegan D. Korthauer* and Christina Kendziorski, A Sparse Reduced Rank Framework for Group University of Wisconsin, Madison Analysis of Functional Neuroimaging Data Mihye Ahn*, Haipeng Shen, Weili Lin and Hongtu Zhu, 4:30 University of North Carolina, Chapel Hill Additive Regression Model with Frailty on Semi-competing Risks Data 4:30 Jinheum Kim*, University of Suwon Bayesian Hierarchical Models for Two-Phase Youn Nam Kim, Clinical Trials Center Severance Hospital Studies Chung Mo Nam, Yonsei University College of Medicine Michelle E. Ross*, University of Pennsylvania Jon Wakefield, University of Washington

* = Presenter | n = Student Award Winner PROGRAM 85 4:45 4:45 Investigating Herpes Simplex Virus Type 1 and KB On the Relationship between FROC and ROI Oral Cancer using Fractional Factorial Designs for Analyses for Detection-Localization Data Drug Combination Determination Andriy I. Bandos*, University of Pittsburgh Hongquan Xu, University of California, Los Angeles Nancy A. Obuchowski, Cleveland Clinic Lerner College Jessica Jaynes*, University of Nevada, Las Vegas of Medicine of Case Western Reserve University Xianting Ding, Shanghai Jiao Tong University Weng Kee Wong and Chih-Ming Ho, University of 5:00 California, Los Angeles Comparison of Diagnostic Performance Levels using Partial AUC 5:00 Hua Ma*, Andriy I. Bandos and David Gur, University Recursive Reclassification using Genomic Markers of Pittsburgh Sean Devlin*, Irina Ostrovnaya and Mithat Gönen, Memorial Sloan-Kettering Cancer Center 5:15 A Simplifying Reformulation of the Binormal 5:15 Likelihood-Ratio Model Impact of Copula Directional Specification on Stephen L. Hillis*, University of Iowa Multi-trial Evaluation of Surrogate Endpoints Lindsay A. Renfro*, Mayo Clinic Hongwei Shang, University of Connecticut 104. CONTRIBUTED PAPERS: STATISTICAL Daniel J. Sargent, Mayo Clinic METHODS FOR BIOMARKER DISCOVERY Bristol Room (3rd Floor) 103. CONTRIBUTED PAPERS: DIAGNOSTIC AND Sponsor: ENAR SCREENING TESTS Chair: Kaushik Ghosh, University of Nevada, Las Vegas Atlantic Room (3rd Floor) 3:45 Sponsor: ENAR New Class of Bivariate Weibull Distributions to Accommodate the Concordance Correlation Chair: Le Kang, U.S. Food and Drug Administration Coefficient for Left-censored Data 3:45 Uthumporn Domthong* and Vernon M. Chinchilli, A New Diagnostic Accuracy Measure and Cut-off The Pennsylvania State Hershey College of Medicine Point Selection Criterion Tuochuan Dong*, State University of New York at Buffalo 4:00 Kristopher Attwood, Roswell Park Cancer Institute A Semi-parametric ROC Method for Assessing Lili Tian, State University of New York at Buffalo Biomarkers Subject to Measurement Errors and Limit of Detection 4:00 Le Kang*, Weijie Chen and Lucas Tcheuko, U.S. Food A Bayesian Missing Data Analysis Model for and Drug Administration Estimating and Comparing Diagnostic Test Accuracy 4:15 Yi Hua*, University of Illinois, Urbana Champaign Clustering and DMR Identification Using Illumina Chenguang Wang, Johns Hopkins University Methylation Microarray Jeff Campbell*, Duchwan Ryu, Varghese George, 4:15 Hongyan Xu and Jaejik Kim, Georgia Regents University Application of Latent Class Analysis for Screening Test of Adolescents Suicidal Behavior 4:30 in United States (1991-2011 YRBSS Survey) Confidence Metrics for Identification of Hani Samawi*, Georgia Southern University Proteins, Post-translational Modifications (PTMs) Ryan Butterfield, Odumosu and Butterfield, LLC. and Proteoforms Naomi C. Brownstein* and Nicolas L. Young, 4:30 Florida State University Issues in Reviewing Precision Studies of Quantitative Measurement in Medical 4:45 Device Submissions in FDA Feature Selection for Ranked-based Classifiers Haiwen Shi and Qin Li*, U.S. Food and Drug Administration Applied to Cancer Biomarker Discovery Bahman Afsari*, Luigi Marchionni and Elana J. Fertig, Johns Hopkins University Ulissess Braga-Neto, Texas A&M University Donald Geman, Johns Hopkins University

* = Presenter | n = Student Award Winner 86 ENAR 2014 | SPRING MEETING | MARCH 16–19 5:00 106. RECENT DEVELOPMENT ON Meta-analysis of Regulatory Network on Major Depressive Disorder by Liquid Association PERSONALIZED MEDICINE Shuchang Liu*, Ying Ding and George C. Tseng, Grand Ballroom II (3rd Floor) University of Pittsburgh Sponsors: ENAR, ASA Mental Health Statistics Section, ASA Biopharmaceutical Section 5:15 Organizer: Rui Song, North Carolina State University Modeling Physical Mixtures of Test Samples to Improve Class Prediction Chair: Rui Song, North Carolina State University Niels R. Hansen* and Martin Vincent, 8:30 University of Copenhagen Q-learning with L1 Regularization Min Qian*, Columbia University 5:30– 6:00 pm ENAR BUSINESS MEETING 8:55 Personalized Medicine and Artificial Intelligence (OPEN TO ALL ENAR MEMBERS) Michael R. Kosorok*, Bristol Room (3rd Floor) University of North Carolina, Chapel Hill

9:20 Bayesian Methods for Dose-Finding with Targeted Wednesday, March 19 Agents in Early Phase Trials Peter F. Thall*, University of Texas 8:30 am – 10:15 am MD Anderson Cancer Center

9:45 105. MODERN SURVIVAL ANALYSIS IN Use of DNA Sequencing in Oncology Discovery OBSERVATIONAL STUDIES Clinical Trials Grand Ballroom IX (3rd Floor) Richard Simon*, National Cancer Institute, National Institutes of Health Sponsor: ENAR Organizer: Kevin He, University of Michigan 10:10 Chair: Kevin He, University of Michigan Floor Discussion 8:30 More Efficient Estimator for Additive Hazard Model for Case-Cohort Studies 107. CAUSAL INFERENCE IN THE ASSESSMENT Jianwen Cai*, University of North Carolina, Chapel Hill OF SURROGATE MARKERS Soyoung Kim, Fred Hutchinson Cancer Research Center Grand Ballroom III (3rd Floor) David Couper, University of North Carolina, Chapel Hill Sponsors: ENAR, ASA Biopharmaceutical Section 8:55 Organizer: Michael R. Elliott, University of Michigan Contrasting Group-specific Cumulative Means Chair: Marshall Joffe, University of Pennsylvania Associated with Marked Recurrent Events in the School of Medicine Presence of a Terminating Event Rick Ma, Regeneron Pharmaceuticals 8:30 Douglas E. Schaubel*, University of Michigan Measures of Surrogacy using Principal Stratification Jeremy MG Taylor*, Anna Conlon and Michael R. Elliott, 9:20 University of Michigan Gateau Differential Based Boosting for Time-varying Survival Models Yi Li*, Ji Zhu and Kevin He, University of Michigan 8:55 Assessing the Surrogacy Paradox Michael R. Elliott*, Anna Conlon, Yun Li 9:45 and Jeremy MG Taylor, University of Michigan Screening for Osteoporosis in Postmenopausal Women: A Case Study in Interval Censored Competing Risks Data Jason Fine*, University of North Carolina, Chapel Hill

10:10 Floor Discussion

* = Presenter | n = Student Award Winner PROGRAM 87 9:20 9:45 Direct Estimation of Joint Counterfactual Adaptive Controls of FWER and FDR Under Probabilities for the Assessment of Binary Block Dependence Surrogate Endpoints Wenge Guo, New Jersey Institute of Technology Marc Buyse*, IDDI Inc. Sanat K. Sarkar*, Temple University Tomasz Burzykowski, Hasselt University, Belgium Ariel Alonso, Maastricht University, The Netherlands 10:10 Geert Molenberghs, Leuven University, Belgium Floor Discussion

9:45 Evaluation of Surrogates of Protection 109. SPATIAL MODELS AND DYNAMICS APPLIED in Pre-clinical HIV Vaccine Trials Dustin M. Long, West Virginia University TO ENVIRONMENTAL SCIENCES AND Michael G. Hudgens*, University of North Carolina, PUBLIC HEALTH Chapel Hill Grand Ballroom V (3rd Floor) Sponsors: ENAR, ASA Section on Bayesian Statistical 10:10 Science, ASA Section on Statistics and the Environment Floor Discussion Organizer: Veronica J. Berrocal, University of Michigan Chair: Howard Chang, Emory University

108. NEW DEVELOPMENTS IN MULTIPLE 8:30 COMPARISONS PROCEDURES AND A Nonparametric Bayesian Model for Spatial VARIABLE SELECTION Point Processes with Application to Raccoon Rabies Spread Grand Ballroom VIII (3rd Floor) Gavino Puggioni*, University of Rhode Island Sponsor: IMS Luca Gerardo-Giorda, Basque Center for Applied Organizer: Debashis Ghosh, The Pennsylvania State Mathematics, Spain University Lance Waller and Leslie Real, Emory University Chair: Debashis Ghosh, The Pennsylvania State University 8:55 8:30 The Role of Weather in Meningitis Spread in Africa False Discovery Control in Large-scale Spatial Yolanda Hagar*, University of Colorado, Boulder Multiple Testing Mary Hayden, National Center of Atmospheric Research Wenguang Sun*, University of Southern California Abudulai Adams Forgor, War Memorial Hospital, Ghana Brian Reich, North Carolina State University Tom Hopson, National Center of Atmospheric Research Tony Cai, University of Pennsylvania Patricia Akweongo, University of Ghana Michele Guindani, University of Texas Abraham Hodgson, Ghana Health Service MD Anderson Cancer Center Andrew Monoghan and Christine Wiedinmyer, National Armin Schwartzman, North Carolina State University Center of Atmospheric Research Raj Pandya, University Corporation for Atmospheric 8:55 Research Estimating the Evidence of Replicability Vanja Dukic, University of Colorado, Boulder in ‘Omics’ Research Ruth Heller*, Tel-Aviv University 9:20 Marina Bogomolov, Technion A Spatial Point Process Model for Viral Infections Murali Haran*, Joshua Goldstein, John Fricks and 9:20 Francesca Chiaromonte, The Pennsylvania State University Statistics Coauthor and Citation Network Jiashun Jin*, Carnegie Mellon University 9:45 Pengsheng Ji, University of Georgia Using Genetic Sequences to Infer Population Dynamics: Phylodynamic Analysis of HIV Transmission in SE Michigan Edward L. Ionides*, University of Michigan

10:10 Floor Discussion

* = Presenter | n = Student Award Winner 88 ENAR 2014 | SPRING MEETING | MARCH 16–19 110. ADVANCES IN LONGITUDINAL STUDIES 9:00 Analysis of Resting Metabolic Rate in a Latin Square FOR PREDICTING CLINICAL OUTCOMES Design with Repeated Measures Grand Ballroom VI (3rd Floor) William D. Johnson*, Robbie Beyl and Jeffrey Burton, Sponsor: ENAR Pennington Biomedical Research Center Organizer: Abdus Sattar, Case Western Reserve University School of Medicine 9:15 Small Area Estimation of Vaccination Chair: Abdus Sattar, Case Western Reserve University Coverage Rates by Combining Time Series School of Medicine and Cross Sectional Data 8:30 Santanu Pramanik* and Ramanan Laxminarayan, Multi-state Analysis of Serial Biomarkers, Public Health Foundation of India Non-Terminal, and Terminal Events Richard J. Cook*, University of Waterloo 9:30 Challenges using Survey Data to Estimate Problem 8:55 Gambling Prevalence in the SEIG-MA Project Generalized Quasi-Likelihood Ratio Tests for Edward J. Stanek III* and Rachel A. Volberg, Semiparametric Analysis of Covariance Models University of Massachusetts, Amherst in Longitudinal Data Robert J. Williams, University of Lethbridge, Jin Tang, University of Georgia Alberta, Canada Yehua Li*, Iowa State University 9:45 9:20 Practical and Statistical Challenges in Developing A Semi-parametric Longitudinal Model for an HIV Drug Resistance Surveillance Protocol Predicting Clinical Outcomes Natalie Exner* and Marcello Pagano, Harvard University Sanjoy Sinha*, Carleton University Abdus Sattar, Case Western Reserve University 10:10 School of Medicine Floor Discussion

9:45 Predicting Outcomes using Generalized Linear 112. CONTRIBUTED PAPERS: LATEST ADVANCES IN Mixed Models Sophia Rabe-Hesketh*, University of California, Berkeley FUNCTIONAL AND IMAGING DATA ANALYSIS Anders Skrondal, Norwegian Institute of Public Health Grand Ballroom I (3rd Floor) Sponsor: ENAR 10:10 Chair: Jaroslaw Harezlak, Indiana University Fairbanks Floor Discussion School of Public Health

8:30 111. CONTRIBUTED PAPERS: NEW DEVELOPMENTS IN Online Functional Principal Component Analysis EDUCATION, CONSULTING, AND HEALTH POLICY David Degras*, DePaul University Atlantic Room (3rd Floor) 8:45 Sponsor: ENAR Modeling Binary Functional Data with Application Chair: Sybil Nelson, Medical University of South Carolina to Animal Husbandry Jan Gertheiss*, University of Göttingen 8:30 Verena Maier, Ludwig-Maximilians-University Munich The Use of Analogies to Help Clinicians and Engel F. Hessel, University of Göttingen Investigators Better Understand the Principles Ana-Maria Staicu, North Carolina State University and Practice of Biostatistics Martin L. Lesser*, Meredith Akerman and Nina Kohn, Feinstein Institute for Medical Research

8:45 Distributed Data, Confidentiality and Specimen Pooling: Using an Old Tool for New Challenges Paramita Saha Chaudhuri*, Duke University

* = Presenter | n = Student Award Winner PROGRAM 89 9:00 113. CONTRIBUTED PAPERS: BAYESIAN METHODS Using Regression Models to Infer Active Connections in Cortex Grand Ballroom IV (3rd Floor) Mark A. Reimers*, Virginia Commonwealth University Sponsor: ENAR Chair: Kassie Fronczyk, Rice University 9:15 Parametric Modulation of Functional MRI Signals: 8:30 A Mixed Effect Model Approach Joint Models for Multivariate Longitudinal Lei Huang* and Martin Lindquist, Johns Hopkins Measurements and a Binary Event: An Application University to a Fetal Growth Study with Longitudinal Philip Reiss, New York University Child Study Center Ultrasound Measurements Ciprian Crainiceanu, Johns Hopkins University Sungduk Kim* and Paul S. Albert, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 9:30 National Institutes of Health Pre-processing of the Longitudinal Structural Brain Imaging Data: A Case Study 8:45 Jacek Urbanek* and Jaroslaw Harezlak, Indiana Bayesian Peer Calibration Based on Network University Fairbanks School of Public Health Position with Application to Alcohol Use Elizabeth M. Sweeney, Johns Hopkins Bloomberg Miles Q. Ott*, Carleton College School of Public Health Joseph H. Hogan, Brown University Krista J. Gile, University of Massachusetts, Amherst 9:45 Crystal Linkletter, Mathworks Clustering of Ultra High Dimensional Nancy P. Barnett, Brown University Longitudinal Data Seonjoo Lee*, Columbia University 9:00 Vadim Zipunnikov, Johns Hopkins University Modeling Long-term HIV Dynamics with Navid Shiee, Amazon Inc. Left Censoring Measurements Daniel S. Reich, National Institute of Neurological Tao Lu*, State University of New York at Albany Disorders and Stroke, National Institutes of Health Dzung L. Pham, The Henry Jackson Foundation 9:15 Brian S. Caffo and Ciprian M. Crainiceanu, Johns A Bayesian Missing Data Framework for Hopkins University Generalized Multiple Outcome Mixed Treatment Comparisons 10:00 Hwanhee Hong*, Haitao Chu, Jing Zhang Effects of Registration on Statistical Analysis and Bradley P. Carlin, University of Minnesota of MRI Data Ani Eloyan* and Haochang Shou, Johns Hopkins 9:30 University Clustering Significant Regions of Brain Activation Russell T. Shinohara, University of Pennsylvania Using fMRI Meta Data Elizabeth M. Sweeney and Mary B. Nebel, Johns Meredith Ray*, University of South Carolina Hopkins University Hongmei Zhang, University of Memphis Daniel S. Reich, National Institute of Neurological Jian Kang, Emory University Disorders and Stroke, National Institutes of Health Martin A. Lindquist and Ciprian M. Crainiceanu, 9:45 Johns Hopkins University Bayesian Factorizations of Big Sparse Tensors Jing Zhou n, University of North Carolina, Chapel Hill Anirban Bhattacharya, Duke University Amy H. Herring, University of North Carolina, Chapel Hill David B. Dunson, Duke University

10:00 Floor Discussion

* = Presenter | n = Student Award Winner 90 ENAR 2014 | SPRING MEETING | MARCH 16–19 114. CONTRIBUTED PAPERS: MULTIVARIATE 115. CONTRIBUTED PAPERS: STATISTICAL SURVIVAL ANALYSIS ANALYSIS IN THE PRESENCE OF Grand Ballroom VII (3rd Floor) MISSING DATA Sponsor: ENAR Grand Ballroom X (3rd Floor) Chair: Hui Xu, University of Massachusetts, Amherst Sponsor: ENAR Chair: Jiwei Zhao, University of Waterloo 8:30 Inference on Quantile Residual Life for 8:30 Semi-competing Risks Data Variable Selection and Prediction with Incomplete Wen-Chi Wu* and Jong-Hyeon Jeong, High-Dimensional Data University of Pittsburgh Ying Liu*, Yang Feng, Yuanjia Wang and Melanie Wall, Columbia University 8:45 Model Selection and Goodness-of-Fit Test 8:45 Procedures for Copula Models Quantile Regression in the Presence of Antai Wang*, New Jersey Institute of Technology Monotone Missingness with Sensitivity Analysis Minzhao Liu*, University of Florida 9:00 Michael Daniels, University of Texas, Austin Analysis of Recurrent Events Data based on Accelerated Recurrence Time Model 9:00 Xiaoyan Sun*, Limin Peng, Yijian Huang Improving the Robustness of Doubly and Amita K. Manatunga, Emory University Robust Estimators Hui-Chuan Lai, University of Wisconsin, Madison Peisong Han*, University of Waterloo Lu Wang, University of Michigan 9:15 Simple Two-stage Semiparametric Estimation 9:15 of the Positive Stable Shared Frailty Model Nonparametric MANOVA Approaches for Non- Yu Han*, Changyong Feng and Xin Tu, Normal Multivariate Outcomes with Missing Values University of Rochester Fanyin He*, Sati Mazumdar, Gong Tang and Stewart J. Anderson, University of Pittsburgh 9:30 Nonparametric Estimation of Joint Distribution 9:30 of Time from Umbilical Cord Blood Transplantation Model Independent Diagnostic for Multiple to First Infection and Gap Times between Recurrent Imputations Infections Irina Bondarenko* and Trivellore Raghunathan, Chi Hyun Lee n and Xianghua Luo, University of Minnesota University of Michigan Chiung-Yu Huang, Johns Hopkins University Todd DeFor, University of Minnesota 9:45 Simple Relaxed Conditional Likelihood 9:45 John J. Hanfelt and Lijia Wang*, Emory University Safe Trials for Equivalence of Two Survival Functions: Alternative to the Tests under Proportional Hazards 10:00 Elvis Martinez*, Florida State University Floor Discussion Wenting Wang, University of Texas MD Anderson Cancer Center Debajyoti Sinha, Florida State University Stuart Lipsitz, Harvard Medical School Richard Chappell, University of Wisconsin, Madison

10:00 Composite Likelihood For Joint Analysis of Multiple Multistate Processes via Copulas Liqun Diao*, University of Rochester Richard J. Cook, University of Waterloo

* = Presenter | n = Student Award Winner PROGRAM 91 116. CONTRIBUTED PAPERS: TOOLS 117. CONTRIBUTED PAPERS: ANALYSIS OF FOR LONGITUDINAL DATA ANALYSIS DATA FROM CLINICAL TRIALS Bristol Room (3rd Floor) Chasseur Room (3rd Floor) Sponsor: ENAR Sponsor: ENAR Chair: Ozgur Asar, Lancaster Medical School Chair: Adam Lane, Cincinnati Children’s Hospital Medical Center 8:30 Longitudinal Outcome Evaluation of a Pilot Study 8:30 of Provider Delivered Care Management Finding the Optimal Allocation in Sequential Hsiu-Ching Chang*, BlueCross BlueShield of Michigan Binary Response Experiments with Two Possibly Correlated Endpoints 8:45 Lu Wang* and Hongjian Zhu, University of Texas Health Properties and Applications of Multivariate Science Center at Houston Antedependence Models Chulmin Kim*, University of West Georgia 8:45 A General Class of Correlation Coefficients 9:00 between Binary and Continuous Variables for Antedependence Models for Skew Normal the 2 × 2 Crossover Design Longitudinal Data Luojun Wang* and Vernon Chinchilli, Penn State Hershey Shu-Ching Chang* and Dale Zimmerman, College of Medicine University of Iowa 9:00 9:15 Weighted and Replicated Estimator for Comparing Bayesian Shared Parameter Models for Dyadic Dynamic Treatment Regimens with a Binary Longitudinal Data with Intermittent Dropouts Outcome using SMART Data: Practical Issues Jaeil Ahn*, Georgetown University and a Simulations-based Sample Size Calculator Ying Yuan and Wenyi Wang, University of Texas Kelley M. Kidwell* and Inbal Nahum-Shani, University MD Anderson Cancer Center of Michigan Connie Kasari, University of California, Los Angeles Daniel Almirall, University of Michigan 9:30 An R Package for Sensitivity Analysis on Longitudinal Data with Non-Ignorable 9:15 Intermittent Missingness Marginal Meta Analysis for Combining Randomized Jing Wang*, The George Washington University Clinical Trials with Rare Binary Outcomes — Chenguang Wang, Johns Hopkins University Reevaluating the Safety Concern of Avandia Yi Huang* and Elande Baro, University of Maryland, Baltimore County 9:45 Guoxing Soon, U.S. Food and Drug Administration A Novel Mixture Model Estimates Time to Onset of Disease or Drug Effects and its Association with Key Covariates 9:30 Mengyuan Xu*, National Institute of Environmental Health Design Issues and their Effect on Power Sciences, National Institutes of Health and Sampling Frequency Requirements Yin Yao, The National Institute of Mental Health, for N-of-1 Clinical Trials National Institutes of Health Yanpin Wang*, Andrew Viterbi and Nicholas Schork, Scripps Health 10:00 A Two-part Mixture Model for Zero-inflated 9:45 Longitudinal Measurements with Heterogeneous Using Internal Pilots to Design Cluster Randomized Random Effects Trials with Unequal Cluster Sizes Huirong Zhu*, Sheng Luo and Stacia M. DeSantis, Ashutosh Ranjan*, University of Alabama, Birmingham University of Texas Health Science Center at Houston Christopher S. Coffey, University of Iowa Leslie A. McClure, University of Alabama, Birmingham

10:00 Designing Balanced Patient-specific Treatment Stimuli for Post-stroke Language Interventions Minming Li*, Edward J. Stanek III and Jacquie Kurland, University of Massachusetts, Amherst

* = Presenter | n = Student Award Winner 92 ENAR 2014 | SPRING MEETING | MARCH 16–19 Wednesday, March 19 119. POWER ANALYSIS FOR MIXED MODELS: WHERE WE STAND 10:15 am – 10:30 am Grand Ballroom III (3rd Floor) Sponsor: ENAR Refreshment Break with Our Exhibitors Grand Ballroom Foyer (3rd Floor) Organizer: Yueh-Yun Chi, University of Florida Chair: Keith E. Muller, University of Florida

10:30 Wednesday, March 19 Introduction Keith Muller*, University of Florida 10:30 am – 12:15 pm 10:35 Quick (but Accurate) Power and Precision 118. HUMAN HEALTH AND ENVIRONMENTAL Approximation using Generalized Linear Mixed Model Software STATISTICS AT THE U.S. EPA’S OFFICE OF Walter W. Stroup*, University of Nebraska, Lincoln RESEARCH AND DEVELOPMENT Grand Ballroom V (3rd Floor) 10:55 Sample Size for Fixed Effect Inference in Sponsors: ENAR, ASA Section on Statistics and Longitudinal and Multilevel Mixed Models the Environment, ASA Government Statistic Section Yueh-Yun Chi*, University of Florida Organizer: James L. Crooks, U.S. Environmental Protection Agency 11:15 Chair: Ana Rappold, U.S. Environmental Protection Agency Optimal Combination of Number of Participants and Number of Repeated Measurements in 10:30 Longitudinal Studies with Time-Varying Exposure Exploring Chemically Induced Change in Donna Spiegelman*, Harvard School of Public Health Neuronal Networks Jose Barrera-Gomez and Xavier Basagana, Centre Diana Hall*, University of North Carolina, Chapel Hill for Research in Environmental Epidemiology (CREAL), Barcelona, Spain 10:50 Development and Evaluation of Two Reduced 11:35 Form Versions of a Deterministic Air Quality Model Panel Discussion for Ozone and Particulate Matter Kristen M. Foley*, Sergey L. Napelenok, Sharon B. Phillips and Carey Jang, U.S. Environmental 120. NEW DEVELOPMENTS IN ESTIMATING CAUSAL Protection Agency EFFECTS OF TIME-VARYING TREATMENTS 11:10 Grand Ballroom II (3rd Floor) Fully Bayesian Analysis of High-Throughput Sponsor: ENAR Targeted Metabolomics Assays Organizer: Edward Kennedy, University of Pennsylvania James L. Crooks*, Denise K. MacMillan School of Medicine and Jane E. Gallagher, U.S. Environmental Chair: Edward Kennedy, University of Pennsylvania Protection Agency School of Medicine

11:30 10:30 Implications of Nonlinear Concentration Double Robust Estimation Strategies for Response Curve for Ozone related Mortality Longitudinal Censored Data on Risk Assessment Mireille E. Schnitzer*, Université de Montréal Ana G. Rappold* and James L. Crooks, Judith J. Lok, Harvard School of Public Health U.S. Environmental Protection Agency 10:55 11:50 Nonparametric Smoothing for Causal Inference Modeling the Effect of Temperature on with Continuous Treatments Ozone-Related Mortality Edward H. Kennedy* and Marshall M. Joffe, Ander Wilson*, North Carolina State University University of Pennsylvania Ana G. Rappold and Lucas M. Neas, U.S. Environmental Protection Agency Brian J. Reich, North Carolina State University

* = Presenter | n = Student Award Winner PROGRAM 93 11:20 122. CONTRIBUTED PAPERS: NON-PARAMETRIC Overcoming Challenges Associated with Artificial Censoring in Structural Nested Failure Time Models METHODS David M. Vock*, University of Minnesota Atlantic Room (3rd Floor) Sponsor: ENAR 11:45 Chair: Kuang-Yao Lee, Yale University Inference for Causal Effects of Time-varying Treatment in the Presence of Selective 10:30 Measurement Error On Inverse Probability Weighted Estimators Marshall M. Joffe*, University of Pennsylvania in the Presence of Interference Lan Liu*, Michael G. Hudgens and Sylvia Becker-Dreps, 12:10 University of North Carolina, Chapel Hill Floor Discussion 10:45 Association of Time to Recovery 121. INSIDE THE BIOSTATISTICAL and a Subsequent Depressive or Mania Episode COLLABORATIVE PROCESS Xiaotian Chen* and Yu Cheng, University of Pittsburgh Grand Ballroom VI (3rd Floor) 11:00 Sponsors: ENAR, ASA Mental Health Statistics Section Bayesian Doubly Semiparametric Proportional Organizer: Bhramar Mukherjee and Brisa Sanchez, Hazards Model with Commensurate Priors that University of Michigan Facilitate Borrowing from a Nonexchangeable Data Source Chair: Brisa Sánchez, University of Michigan Thomas A. Murray*, University of Minnesota 10:30 Brian P. Hobbs, University of Texas MD Anderson Cancer Center Mass Spectrometry-based Metabolomics Bradley P. Carlin, University of Minnesota to Understand Human Health and Disease Andrew Patterson*, The Pennsylvania State University 11:15 Bivariate Penalized Splines for Regression 11:00 Ming-Jun Lai and Lily Wang*, University of Georgia Kernel Machines for Metabolomics Data Analysis Xiang Zhan, Debashis Ghosh* and Andrew Patterson, 11:30 The Pennsylvania State University Signed Rank with Responses Missing at Random Huybrechts F. Bindele*, University of South Alabama 11:45 Discussant: Wei Pan, University of Minnesota 11:45 Combination of Nonparametric Regression Based Classifiers for Breast Tissue Diagnosis from Raman Spectra Jing Guo*, Richard Charnigo and Cidambi Srinivasan, University of Kentucky Ramachandra Dasari, Massachusetts Institute of Technology Maryann Fitzmaurice, Case Western Reserve University Abigail Haka, Cornell University

12:00 Gene-Trait Similarity U Test Changshuai Wei* and Qing Lu, Michigan State University

* = Presenter | n = Student Award Winner 94 ENAR 2014 | SPRING MEETING | MARCH 16–19 123. CONTRIBUTED PAPERS: VARIABLE 124. CONTRIBUTED PAPERS: HIGH DIMENSIONAL SUBSET SELECTION DATA IN GENETICS AND GENOMICS Chasseur Room (3rd Floor) Grand Ballroom VIII (3rd Floor) Sponsor: ENAR Sponsor: ENAR Chair: Sunyoung Shin, University of North Carolina, Chair: Jun Ding, National Institute on Aging, National Chapel Hill Institutes of Health

10:30 10:30 Time-varying Networks Estimation and Dynamic Strategies for Developing Prediction Models from Model Selection Genome-wide Association Studies Xinxin Shu* and Annie Qu, University of Illinois, Jincao Wu*, Ruth M. Pfeiffer and Mitchell H. Gail, Urbana-Champaign National Cancer Institute, National Institutes of Health

10:45 10:45 Simultaneous Variable Selection for Joint Models A Penalized Multi-trait Mixed Model for Association of Longitudinal and Survival Outcomes Mapping in Pedigree-based GWAS Zangdong He*, Indiana University School of Medicine Jin Liu*, University of Illinois, Chicago and Fairbanks School of Public Health Can Yang, Yale University Wanzhu Tu, Indiana University School of Medicine, Xingjie Shi, Shanghai University of Finance and Fairbanks School of Public Health and Regenstrief Economics, China Institute, Inc. Cong Li, Yale University Sijian Wang, University of Wisconsin, Madison Jian Huang, University of Iowa Haoda Fu, Eli Lilly & Company Hongyu Zhao and Shuangge Ma, Yale University Zhangsheng Yu, Indiana University School of Medicine and Fairbanks School of Public Health 11:00 A Mixture of Experts Approach for the Analysis of 11:00 SNP Data Local Feature Selection in Varying-Coefficient Julia Schiffner* and Holger Schwender, Models Heinrich-Heine-Universitaet Duesseldorf Lan Xue, Oregon State University Xinxin Shu and Peibei Shi*, 11:15 University of Illinois, Urbana-Champaign Joint Estimation of Multiple Dependent Gaussian Colin O. Wu, National Heart, Lung and Blood Institute, Graphical Models National Institutes of Health Yuying Xie n, Yufeng Liu and William Valdar, University of Annie Qu, University of Illinois, Urbana-Champaign North Carolina, Chapel Hill

11:15 11:30 Structured Feature Selection for Longitudinal Gateau Differential Boosting for Analysis of Gene Biomarker Data Effects and Gene-gene Interaction Anthony V. Pileggi* and Brent A. Johnson, Emory Kevin He*, Yi Li and Ji Zhu, University of Michigan University DuBois Bowman, Columbia University 11:45 Concordant Integrative Analysis of Multiple Gene 11:30 Expression Data Sets Parsimonious Covariate and Conditional-Mean Fanni Zhang* and Yinglei Lai, The George Washington Model Selection with Multiple Candidate Predictors University Greg DiRienzo*, State University of New York at Albany 11:45 12:00 Floor Discussion D_CDF Test of Negative Log Transformed P-values with Application to Genetic Pathway Analysis Hongying Dai*, Children’s Mercy Hospital Richard Charnigo, University of Kentucky

* = Presenter | n = Student Award Winner PROGRAM 95 125. CONTRIBUTED PAPERS: TOOLS FOR SURVIVAL 126. CONTRIBUTED PAPERS: META-ANALYSIS ANALYSIS Grand Ballroom I (3rd Floor) Grand Ballroom IV (3rd Floor) Sponsor: ENAR Sponsor: ENAR Chair: Sujin Kim, Savannah State University Chair: Jonathan Yabes, University of Pittsburgh 10:30 10:30 Estimation of Treatment Effects in Matched- Robust Prediction of Cumulative Pair Cluster Randomized Trials by Calibrating Incidence Function under Non-proportional Covariate Imbalance Between Clusters Subdistribution Hazards Zhenke Wu* and Constantine E. Frangakis, Johns Qing Liu* and Chung-Chou H Chang, Hopkins Bloomberg School of Public Health University of Pittsburgh Thomas A. Louis, Johns Hopkins Bloomberg School of Public Health and U.S. Census Bureau 10:45 Daniel O. Scharfstein, Johns Hopkins Bloomberg Dynamics Model of Diabetes Disease Progression School of Public Health to End-Stage-Renal Disease and Mortality Ying Jiang, Nathaniel Osgood, Roland Dyck 10:45 and Hyun J. Lim*, University of Saskatchewan, Canada A Unification of Models for Meta-analysis of Diagnostic Accuracy Studies Without a 11:00 Gold Standard On the Consistency of Maximum Yulun Liu* and Yong Chen, University of Texas Health Likelihood Estimators for the Three Parameter Science Center at Houston Lognormal Distribution Haitao Chu, University of Minnesota HaiYing Wang*, University of New Hampshire Nancy Flournoy, University of Missouri, Columbia 11:00 Meta-analysis Methods for Combining Multiple 11:15 Expression Profiles: Comparisons, Statistical Regression When the Predictor may be Censored Characterization and an Application Guideline David Oakes*, University of Rochester Lun-Ching Chang*, Hui-Min Lin and George C. Tseng, University of Pittsburgh 11:30 Nonparametric Discrete Survival Function 11:15 Estimation with Uncertain Endpoints using Investigation on Adaptively Weighted Evidence an Internal Validation Subsample Aggregation Meta-analysis Methods Jarcy Zee* and Sharon X. Xie, Shaowu Tang* and George C. Tseng, University of Pennsylvania Perelman School of Medicine University of Pittsburgh

11:45 11:30 A New Flexible Association Measure for Bayesian Hierarchical Models for Network Meta- Semi-competing Risks analysis Incorporating Nonignorable Missingness n Jing Yang* and Limin Peng, Emory University Jing Zhang , Haitao Chu, Hwanhee Hong and James D. Neaton, University of Minnesota Guoxing Greg Soon, U.S. Food and Drug Administration 12:00 Beth A. Virnig and Bradley P. Carlin, Pseudo-value Approach for Comparing Survival University of Minnesota Medians for Dependent Data Kwang Woo Ahn*, Medical College of Wisconsin Franco Mendolia, German Aerospace Center, 11:45 Institute of Aerospace Medicine, Germany Plug-in Tests for Non-equivalence of Means of Independent Normal Populations Sungwoo Choi* and Junyong Park, University of Maryland Baltimore County

* = Presenter | n = Student Award Winner 96 ENAR 2014 | SPRING MEETING | MARCH 16–19 127. CONTRIBUTED PAPERS: STATISTICAL 128. CONTRIBUTED PAPERS: LONGITUDINAL METHODS FOR HANDLING MISSING DATA DATA ANALYSIS Grand Ballroom X (3rd Floor) Bristol Room (3rd Floor) Sponsor: ENAR Sponsor: ENAR Chair: Victoria Liublinska, Harvard University Chair: Douglas Gunzler, Case Western Reserve University

10:30 10:30 Censoring Adjustment Methods for Source Generalized p-Values for Testing Zero-Variance Apportionment Models Components in Linear Mixed-effects Models Jenna R. Krall*, Johns Hopkins Bloomberg Haiyan Su*, Montclair State University School of Public Health Xinmin Li, ShanDong University of Technology Charles H. Simpson, Havoc Engineering Hua Liang, The George Washington University Roger D. Peng, Johns Hopkins Bloomberg Hulin Wu, University of Rochester School of Public Health 10:45 10:45 Sufficient Dimension Reduction for Longitudinal A Hot Deck Imputation Procedure for Multiply Data Imputing Nonignorable Missing Data: The Proxy Xuan Bi* and Annie Qu, University of Illinois, Pattern-Mixture Hot Deck Urbana-Champaign Danielle M. Sullivan* and Rebecca R. Andridge, The Ohio State University 11:00 Real Time Monitoring of Progression Towards 11:00 Renal Failure in Primary Care Patients Analysis of Incomplete Derived Responses: Peter J. Diggle, Lancaster University, United Kingdom Multiple Imputation for Body Mass Index Data and University of Liverpool, United Kingdom Jiwei Zhao*, Richard Cook and Changbao Wu, Ines Sousa, University of Minho, Portugal University of Waterloo Ozgur Asar*, Lancaster University, United Kingdom

11:15 11:15 Longitudinal Latent Variable Models Given AR(1) Latent Class Models for Longitudinal Incompletely Observed Biomarkers and Count Data Covariates Nicholas Henderson* and Paul Rathouz, Chunfeng Ren* and Yongyun Shin, Virginia University of Wisconsin, Madison Commonwealth University 11:30 11:30 Time-varying Coefficient Models to Identify and Clustering Incomplete Data using Normal Mixture Model Time-clusters in Recurrent Event Data Models Xiaoxue Li*, Stewart J. Anderson and Saul Shiffman, Chantal Larose*, Dipak Dey and Ofer Harel, University of Pittsburgh University of Connecticut 11:45 11:45 Identifying Multiple Change-points in a Linear Causal Inference in Longitudinal Studies with Mixed Effects Model Dropout and Truncation by Death Yinglei Lai*, The George Washington University Michelle Shardell*, University of Maryland Paul S. Albert, Eunice Kennedy Shriver National Institute Gregory Hicks, University of Delaware of Child Health and Human Development, National Luigi Ferrucci, National Institute on Aging, Institutes of Health National Institutes of Health 12:00 12:00 Regression Analysis of Mixed Recurrent-event The Effect of Imputing a Complex Outcome on and Panel-count Data the Rejection Rate of Pearson’s Chi-Square Test Liang Zhu*, St. Jude Children’s Research Hospital of Independence and a Permutation-Based Xingwei Tong, Beijing Normal University Correction Factor Jianguo Sun, University of Missouri, Columbia Megan J. Olson Hunt* and Gong Tang, Kumar Srivastava, St. Jude Children’s Research Hospital University of Pittsburgh Wendy Leisenring, Fred Hutchinson Cancer Research Center Leslie Robinson, St. Jude Children’s Research Hospital

PROGRAM 97 129. CONTRIBUTED PAPERS: PREDICTION 130. CONTRIBUTED PAPERS: NEW METHODS AND PROGNOSTIC MODELING FOR GWAS Grand Ballroom VII (3rd Floor) Grand Ballroom IX (3rd Floor) Sponsor: ENAR Sponsor: ENAR Chair: Kellie J. Archer, Virginia Commonwealth University Chair: Tamar Sofer, Harvard School of Public Health

10:30 10:30 Predicting Probabilities of Competing Risk Lassot: A Hybrid of Lasso and t-regularization Outcomes under Informative Censoring, for Penalized Regression and Applications to with Application to Safety and Efficacy of Genomic Selection Initial ART in HIV-Positive Patients Long Qu*, Wright State University Judith J. Lok* and Michael D. Hughes, Harvard School of Public Health 10:45 SHAVE: Shrinkage Estimator Measured for 10:45 Multiple Visits Increases Power in GWAS of The Optimality of a Pseudo-Likelihood Approach Quantitative Traits to Bayesian Classification Osorio D. Meirelles*, Jun Ding and Toshiko Tanaka, Josephine K. Asafu-Adjei* and Rebecca A. Betensky, National Institute on Aging, National Institutes of Health Harvard School of Public Health Serena Sanna, Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Monserrato, Cagliari, Italy 11:00 Hsih-Te Yang, Taiwan Food and Drug Administration Local Likelihood-Based Estimation for Quantile Dawood B. Dudekula, National Institute on Aging, Classification in Binary Regression Models National Institutes of Health John D. Rice* and Jeremy M. G. Taylor, Francesco Cucca, Istituto di Ricerca Genetica e Biomedica, University of Michigan Consiglio Nazionale delle Ricerche, Monserrato, Cagliari, Italy Luigi Ferrucci, National Institute on Aging, National Institutes of Health 11:15 Goncalo Abecasis, University of Michigan Combination of Longitudinal Biomarkers in David Schlessinger, National Institute on Aging, Predicting Binary Events with Application in National Institutes of Health a Fetal Growth Study Danping Liu* and Paul S. Albert, Eunice Kennedy Shriver National Institute of Child Health and Human 11:00 Development, National Institutes of Health Secondary Trait Analysis for Case-Control Association Studies in the Presence of Covariates Godwin Yung* and Xihong Lin, Harvard University 11:30 Predictive Accuracy of Time-dependent Markers for Survival Outcomes 11:15 Li Chen*, University of Kentucky Penalized Multi-Marker versus Single-Marker Donglin Zeng and Danyu Lin, University of North Regression Methods for Genome-Wide Association Carolina, Chapel Hill Studies of Quantitative Traits Hui Yi*, Netsanet Imam and Ina Hoeschele, Virginia Tech 11:45 An Investigation of the Assumptions of the 11:30 Current Status Model Association Studies with Imputed SNPs Using Jian-Lun Xu*, National Cancer Institute Expectation-Maximization-Likelihood-Ratio Test Kuan-Chieh Huang* and Yun Li, 12:00 University of North Carolina, Chapel Hill Floor Discussion 11:45 Statistical Calibration of qRT-PCR, Microarray and RNA-Seq Gene Expression Data with Measurement Error Models Zhaonan Sun*, Thomas Kuczek and Yu Zhu, Purdue University

12:00 IUTA: A Statistical Method to Detect Differential Isoform Usage from mRNA-Seq Data Liang Niu*, Weichun Huang, David M. Umbach and Leping Li, National Institute of Environmental Health Sciences, National Institutes of Health

98 ENAR 2014 | SPRING MEETING | MARCH 16–19 PROGRAM 99 ENAR 2014 SPRING MEETING INDEX Aban, Inmaculada 7k An, Qian 3m Baechler, Emily C. 24

Abarin, Taraneh 33 Anderson, Baek, Jongyu 101 Georgiana B. 24 Abecasis, Goncalo R. 27, 75, 130 Baggerly, Keith 15 Anderson, Keaven M. 28 Adams, Ryan P. 56 Bahou, Wadie F. 4c Anderson, Stewart J. 37, 115, 128 Aerts, Marc 44 Bai, Jiawei 18 Ando, Yuki 23 Afsari, Bahman 104 Bailey-Wilson, Joan E. 24, 43 Andreasssen, Ole 25 Agan, Brian K. 87 Bair, Eric 22, 36 Andrei, Adin-Cristian 19 Agarwal, Deepak SC3 Baladandayuthapani, Andrews, Jennifer 76 Veerabhadran 3q, 15 62 Agniel, Denis M. 23 Andridge, Rebecca R. 127 Balakrishnan, Ahn, Jaeil 116 Narayanaswamy 99 Apanasovich, Ahn, Kwang Woo 24, 125 Tatiyana V. 42 Balasubramanian, Raji 63, 76 Ahn, Mihye 101 Archer, Kellie J. 5h Bandos, Andriy I. 103 Airoldi, Edoardo M. 40 Asafu-Adjei, Josephine K. 129 Bandyopadhyay, Akcin, Haci 84 Dipankar 101 Asar, Ozgur 128 Akerman, Meredith 111 Banerjee, Moulinath 19 Aston, John 68 Akweongo, Patricia 109 Banerjee, Samprit 31 Atkins, David C. 34 Albacha-Hejazi, Hasan 24 Banerjee, Sudipto 60, 63 Attie, Alan 24 Albert, Paul S. 13, 113, 128, 129 Barker, Lawrence E. 84 Attwood, Kristopher 103 Alexeeff, Stacey E. 18 Barnett, Ian J. 57 Austin, Erin 36 Allen, Andrew S. 95 Barnett, Nancy P. 113 Awadalla, Saria 2j Almirall, Daniel 117 Baro, Elande 117 Axelson, David 50 Almudevar, Anthony 7f, 33 Barrdahl, Myrto 33, 45 Aydin, Burcu 7l Alonso, Ariel 107 Barrera-Gomez, Jose 119 Ayers, Gregory 48 Alvarez, JoAnn 48 Bartolucci, Francesco 30 Azzone, Vanessa 3i

100 ENAR 2014 | SPRING MEETING | MARCH 16–19 Basagana, Xavier 119 Bondell, Howard D. 11j, 20 Busonero, Fabio 75

Batterman, Stuart A. 8h Bordonali, Elena K. 23 Butterfield, Ryan 103

Bazin, Pierre-Louis 89 Boruvka, Audrey 35 Butz, Arlene 38

Beaty, Terri H. 4n, 24 Bose, Maitreyee 33 Buyse, Marc 107

Beavers, Daniel P. 46 Bowman, Dale 23 Cadwell, Betsy L. 84

Bebu, Ionut 87 Bowman, DuBois 89, 97, 123 Caffo, Brian S. 7m, 22, 64, 89, 97, 112 Beck, J. Robert 5e Bradford, Denise 84 Cahill, Farrell 33 Becker-Dreps, Sylvia 122 Braga-Neto, Ulissess 104 Cai, Bo 78 Behrens, Timothy W. 24 Branch, Craig A. 58 Cai, Jianwen 59, 73, 105 Behseta, Sam 80 Braun, Danielle 61 Cai, Tianxi 5g, 23, 34, 47, 81, Bellamy, Scarlett R5 Braun, Thomas M. 8k, 35, 52 100

Bello, Ghalib A. 48 Bressler, Jan 33 Cai, Tony 45, 73, 108

Benjamini, Yuval 7p Breysse, Patrick N. 38 Cai, Zhuangyu 11b

Berndt, Sonja I. 1d Brice, Joann 10c Calabresi, Peter A. 97

Bernhardt, Paul W. 72 Brinks, Ahnalee 31 Calaway, John 32

Berrocal, Veronica J. 8b, 58, 101 Britton, Tom 1c Califano, Joseph A. 90

Betensky, Rebecca A. 129 Broglio, Kristine R. 14 Campbell, Jeff 104

Beyl, Robbie A. 8i, 10a, 111 Broman, Karl W. 1i Cao, Guanqun 20

Bhangale, Tushar R. 24 Brown, Andrew 63 Cao, Ying 45

Bharath, Karthik 46 Brown, Benjamin T. 7c Carlin, Bradley P. 29, 113, 122, 126, SC2 Bhattacharya, Brown, Charles H. 31 Anirban 113 Carnegie, Nicole B. 46 Brown, Marshall D. 5g Bhaumik, Dulal K. 37 Carrico, Caroline K. 65 Brown, Shawn T. 34 Bi, Xuan 44, 128 Carroll, Raymond J. 4b, 5b, 44 Brownstein, Naomi C. 104 Billard, Lynne 47 Caspers, Kristin 76 Brumback, Babette 11b Bindele, Cassese, Alberto 32, 83 Huybrechts F. 122 Bryan, Kevin A. 40 Castellanos, Xavier F. 58 Birmaher, Boris 50 Bryan, Matthew W. 37 Chaganty. N. Rao 18, 36 Bliss, Donna Z. 86 Buhule, Olive D. 60 Chan, Wenyaw 8c Bliznyuk, Nikolay 98 Bullitt, Elizabeth 7l Chandrasekhar, Blitzstein, Joseph 12 Burchard, Esteban 33 Rameela 88

Boatman-Reich, Dana 64 Bureau, Alexandre 24 Chang, Chung-Chou H 125 Bobb, Jennifer F. 8g, 38 Burke, Erin 58 Chang, Hsiu-Ching 116 Boca, Simina M. 7e Burke, Lora E. 37 Chang, Howard H. 38, 101 Boerwinkle, Eric 75 Burton, Jeffrey 8i, 10a, 111 Chang, Hua-Hua 7g, 69 Bogomolov, Marina 108 Burzykowski, Tomasz 107 Chang, Joyce 59 Bondarenko, Irina 115

PROGRAM 101 Chang, Lun-Ching 75, 126 Chen, Yu 25 Cole, Stephen 60

Chang, Shu-Ching 116 Chen, Zhe 4a Coles, Adrian 62

INDEX Chang, Yu-Wei 48 Chen, Zhengjia 74 Collado-Torres, Leonardo 4m Chanock, Stephen J. 33 Cheng, Guang 22, 100 Collinge, William O. 94 Chappell, Richard 35, 114 Cheng, Jian 89 Conlon, Anna SC 107 Charnigo, Richard J. 21, 47, 122, 124 Cheng, Joyce 3h Conneely, Karen N. 45 Chatterjee, Arpita 99 Cheng, Wei 29 Connett, John 99 Chatterjee, Nilanjan 4b, 5b, 33, 45, 95 Cheng, Yu 71, 122 Connor, Jason T. 14, 48 Chelaru, Florin 80 Chervoneva, Inna 21 Cook, Andrea J. 54 Chen, Baojiang 47 Chevret, Sylvie 92 Cook, Dennis 16 Chen, Chi-Hua 25 Chi, Yueh-Yun 119 Cook, John 2b Chen, Eric 27 Chiaromonte, Francesca 30, 109 Cook, Richard J. 35, 49, 110, 114, 127 Chen, Geng 3e Chinchilli, Vernon M. 104, 117 Cope, Leslie 90 Chen, Guanhua 36, 100 Chiou, Jeng-Min 68 Core, Cynthia 50 Chen, Huaihou 58, 62, 96 Cho, Hyunkeun 30 Cornea, Emil A. 34 Chen, Jun 24 Cho, Youngjoo 59 Corrada Bravo, Hector 80 Chen, Kehui 50 Choi, Bong-Jin 19 Coull, Brent A. 38, 60, 62 Chen, Kun 49 Choi, Hyung Won 53 Couper, David J. 99, 105 Chen, Li 6g, 129 Choi, Jaeun 61 Cox, Dennis D. 32 Chen, Linlin 7f Choi, Jungsoon 78 Crainiceanu, Chen, Mengjie 41 Ciprian M. 1a, 10j, 18, 20, 43, Choi, Sangbum 81 47, 62, 68, 89, 97, Chen, Min 8a 98, 112 Choi, Sungwoo 126 Chen, Ming-Hui 67 Cramer, Steve 58 Christensen, Brock C. 1f Chen, Rui 4l Cribben, Ivor 25 Chu, Haitao 60, 113, 126 Chen, Shaojie 89 Cristiano, Stephen 4p Chuang-Stein, Christy 67 Chen, Shuo 58 Crooks, James L. 118 Chung, Christine H. 90 Chen, Tianle 64 Crovella, Mark 1c Chung, Moo K. 1h, 89 Chen, Ting-Huei 33 Cucca, Francesco 75, 130 Chung, Wonil 4h Chen, Ting-Yu 8c Cui, Yuehua 47 Ciarleglio, Adam 5f, 96 Chen, Wei 75 Cunniff, Chris 76 Cicek, Hatice 19 Chen, Weijie 104 Dahl, David B. 32 Clancy, John P. 72 Chen, Wenan 24 Dai, Hongying 21, 47, 124 Clement, Lieven 57 Chen, Xiaotian 122 Dai, Tian 86 Coffey, Christopher S. 117 Chen, Xuerong 76, 102 Dale, Anders 25 Coffman, Donna L. 39 Chen, Yong 60, 71, 126 Danaher, Michelle 73 Colantuoni, Elizabeth A. 2f, 20

102 ENAR 2014 | SPRING MEETING | MARCH 16–19 Daniels, Michael J. 46, 58, 85, 115 Dominici, Francesca 52, 61, R2 Falciani, Francesco 32

Danilova, Ludmila V. 90 Domthong, Famian, Damian 53 Uthumporn 104 Darrow, Lyndsey A. 38 Fan, Jieyu 50 Dong, Tuochuan 103 Das, Ritabrata 19 Fan, Qian 21 Dong, Xiaoyu 11h, 48 Dasari, Ramachandra 122 Fan, Ruzong 43, 62 Dore, David D. 39 Datta, Abhirup 60 Fang, Hong-Bin 74, 102 Doss, Hani 4a Datta, Gauri S. 63 Favaro, Stefano 56 Du, Guangwei 63 Datta, Susmita 66 Fazio, Massimo 15 Du, Yining 2b Davidian, Marie 44, R7 Feingold, Eleanor 4j Duan, Leo L. 72 De Iorio, Maria 56 Feng, Changyong 114 Dudekula, Dawood B. 130 Deden, Rukmana 9f Feng, Sheng 4q Duerr, Isaac H. 98 DeFor, Todd 114 Feng, Yang 115 Duffin, Bret 4r Degras, David 112 Ferguson, Kelly K. 8h Dukic, Vanja 109 Delaney, Joseph AC. 18 Fernandes, Laura L. 49 Dunn, Graham 87 Demerath, Ellen 33 Ferrucci, Luigi 18, 127, 130 Dunson, David B. 56, 113 Deng, Ke 83 Fertig, Elana J. 4e, 90, 104 Durkalski, Valerie L. 14, 74 Derkach, Andriy 55 Fiecas, Mark 1j Dyck, Roland 125 DeSantis, Stacia M. 72, 74, 116 Fine, Jason 11e, 71, 105 Dzemidzic, Mario 25 Devlin, Bernie 1k Finley, Andrew O. 60 Eberly, Lynn E. 7c, 86 Devlin, Sean 88, 102 Fisher, Aaron 24 Edmonson, Michael 90 Dey, Dipak 127 Fissell, William Henry 11g Egleston, Brian L. 5e Deyoe, Edgar A. 3k Fitzmaurice, Maryann 122 Ellerbe, Caitlyn 74 Diao, Liqun 114 Flournoy, Nancy 11a, 74, 125 Elliot, Daniel 10c Díaz, Iván 92 Fofana, Demba 23 Elliott, Lloyd 56 Diette, Gregory B. 38 Foley, Kristen M. 118 Elliott, Michael R. 3c, 72, 107 Diez Roux, Ana 45 Forgor, Elm, Jordan 74 Abudulai Adams 109 Diggle, Peter J. 128 Eloyan, Ani 89, 112 Fortin, Jean-Philippe 4e Dignam, James J. 88 Emerson, John T5 Forzani, Liliana 16 Diler, Rasim S. 50 Emsley, Richard 87 Foster, Jared C. 100 Ding, Jun 75, 130 Engelhardt, Barbara 56 Franceschini, Nora 75 Ding, Wei 9e Entsuah, Richard 48 Frangakis, Ding, Xianting 102 Constantine E. 126 Epstein, Michael P. 45, 95 Ding, Ying 22, 49, 104 Frazee, Alyssa 57 Evani, Bhanu M. 36 DiRienzo, Greg 123 French, Benjamin 72 Evans, Otis R. 3b Dobbin, Kevin K. 21 Fricks, John 78, 94, 109 Evans, Scott R. 23

Exner, Natalie 111

PROGRAM 103 Fronczyk, Kassie 46 Goldstein, Benjamin 50 Haka, Abigail 122

Fu, Haoda 2g, 29, 123 Goldstein, Joshua 109 Hall, Charles B. 18

INDEX Fuentes, Montse 65 Goldstein, Tina 50 Hall, Diana 118

Gail, Mitchell H. 124 Gönen, Mithat 88, 102 Hamasaki, Toshimitsu 23

Galanter, Joshua 33 Gorfine, Malka 61 Han, Fang 22

Gallagher, Colin M. 71 Gou, Jiangtao 23 Han, Junhee 88

Gallagher, Jane E 118 Goyal, Ravi 46 Han, Peisong 115

Gallop, Robert 34 Graham, Robert R. 24 Han, Shengtong 3o

Ganna, Andrea 1d Gray, Simone 84 Han, Yu 114

Gao, Sujuan 73 Greenwood, Hancock, William O. 78 Celia M.T. 4e Gatsonis, Constantine 29 Handorf, Elizabeth 82 Greven, Sonja 62 Gaykalova, Daria A. 90 Hanfelt, John J. 115 Grineski, Sara E. 8e Gaynor, Sheila 36 Hansen, Kasper D. 4e Groth, Caroline 63 Gellar, Jonathan E. 20, 68 Hansen, Niels R. 104 Gruber, Susan 22 Geman, Donald 104 Hao, Han 4k, 62 Gruber, Tanja 90 Gennings, Chris 36, 65 Haran, Murali 109 Grubesic, Tony H. 60 George, Brandon J. 7k Harel, Ofer 127 Gu, Xiangdong 63, 76 George, E. O. 23 Harezlak, Jaroslaw 25, 112 Guan, Weihua 33 George, Varghese 4o, 50, 104 Hartge, Patricia 33 Gueorguieva, Ralitza 5d Gerardo-Giorda, Luca 109 Hastings, Nicole 101 Guillaume, Bryan 97 Gertheiss, Jan 112 Hatfield, Laura A. 3i Guindani, Michele 32, 46, 83, Ghosh, Arpita 33 88, 108 Hayden, Mary 109

Ghosh, Debashis 23, 39, 45, 53, Gunzler, Douglas 87 He, Fanyin 115 59, 121 Guo, Jing 122 He, Jiwei 73 Ghosh, Kaushik 32 Guo, Wei 4d He, Kevin 105, 124 Ghosh, Pulak 32 Guo, Wenge 108 He, Peng 24 Ghosh, Santu 71 Guo, Xiuqing 45 He, Qing 7b, 32 Ghosh, Soumitra 24 Guo, Ying 58, 86, 89 He, Tao 47 Gignoux, Chris 33 Gur, David 103 He, Xin 1k Gile, Krista J. 113 Gurvich, Olga 86 He, Xuming 30 Gill, Mary K. 50 Gustafsson, Stefan 1d He, Yulei 79 Gilmore, John H. 7n Gutman, Roee 39 He, Zangdong 123 Giurcanu, Mihai C. 10i Hackstadt, Amber J. 38 He, Zihuai 45 Glaser, Michelle 18 Hagar, Yolanda 109 Heagerty, Patrick J. 37, 70, SC5 Gnatenko, Dmitri V. 4c Haglund, Michael M. 94 Hedayat, Samad 64 Goldsmith, Jeff 43, 96, 97, 98, T2 Haibe-Kains, Benjamin 90

104 ENAR 2014 | SPRING MEETING | MARCH 16–19 Heller, Ruth 108 Hu, Ming 83 Irony, Telba Z. 52

Henderson, Nicholas 66, 128 Hu, Tao 6c, 59 Iyengar, Satish 7a, 50

Hendrichsen, Ditte K. 78 Hu, Yijuan 1d, 95 Jaffe, Andrew E. 4m

Hernan, Miguel 22 Hua, Yi 103 Janes, Holly 100

Herrera, Juana M. 8e Huang, Chiung-Yu 17, 114 Jang, Carey 118

Herring, Amy H. 65, 113 Huang, Erya 4c Jang, Woncheol 63

Hessel, Engel F. 112 Huang, Jian 11k, 124 Jarrin, Inmaculada 22

Heyse, Joseph F. 67 Huang, Kuan-Chieh 130 Jarso, Samson 97

Hicks, Gregory 127 Huang, Lei 10j, 89, 96, 112 Jauch, Edward 74

Hill, Elizabeth G. 22 Huang, Weichun 130 Jaynes, Jessica 102

Hillis, Stephen L. 103 Huang, Whitney 8f Jelsema, Casey M. 101

Hirschhorn, Joel 1d Huang, Xuelin 72, 81 Jeong, Jong-Hyeon 86, 114

Ho, Chih-Ming 102 Huang, Xuemei 63 Ji, Hongkai 27, 90

Ho, Yen-Yi 24 Huang, Yen-Tsung 82, 90 Ji, Pengsheng 108

Hobbs, Brian P. 122 Huang, Yi 117 Ji, Yuan 85

Hochman, Daryl 94 Huang, Yijian 114 Jia, Jia 22, 75

Hodges, James S. 86 Huang, Ying 100 Jia, Zhenyu 35, 66

Hodgson, Abraham 109 Huang, Yuan 11k Jiang, Bei 72

Hoeschele, Ina 130 Hubbard, Alan E. 93 Jiang, Fei 71

Hoffman, Lesa 69 Hudgens, Michael G. 23, 107, 122 Jiang, Hui 41

Hoffmann, Hudson, Thomas J. 4e Jiang, Qin 2d Raymond G. 3k Hughes, John 78 Jiang, Wenxin 3d Hogan, Joseph H. 113 Hughes, Michael D. 129 Jiang, Ying 125 Hom, Douglas C. 8b Hunt, Kelly 72 Jiang, Yu 95 Honaker, John 73 Huo, Zhiguang 53, 102 Jiang, Yunxuan 45 Hong, Chuan 71 Hutson, Alan 71, 88 Jin, Ick Hoon 101 Hong, Hwanhee 29, 113, 126 Huynh, Tran 63 Jin, Jiashun 108 Hooker, Giles 20 Hyrien, Ollivier 36 Joffe, Marshall M. 73, 120 Hopson, Tom 109 Hyun, Jung Won 7n Johnson, Brent A. 61, 123 Hossain, Monir 78 Hyun, Noorie 99 Johnson, Timothy D. 3j, 3l, 8b, 25, 56, Hou, Jiayi 5h 58, 60 Ibrahim, Joseph G. 34, 67, 89, SC6 Hou, Lin 41 Johnson, William D. 8i, 10a, 111 Illian, Janine B. 78 Houseman, Andres 1f Johnston, Richard 95 Imam, Netsanet 130 Hsu, Jason C. 49 Joo, Hyun 32 Ingelsson, Erik 1d Hsu, Jesse Y. 73 Joshi, Amit D. 33, 45 Ionides, Edward L. 109 Hsu, Li 26 Jung, Yoonsung 11d Irizarry, Rafael 27, SC4

PROGRAM 105 Kahle, David 3h Kim, Sujin 9f Kudela, Maria A. 25

Kamboh, M. Ilyas 4f Kim, Sungduk 113 Kulasekera, Kurunarathna B. 71 INDEX Kanetsky, Peter 82 Kim, SungHwan 5c, 53 Kundu, Suprateek 3q Kang, Chaeryon 100 Kim, Youn Nam 102 Kurland, Jacquie 117 Kang, Hyunseung 73 Kimmel, Stephen E. 4e, 72 Kurtek, Sebastian 1b, 15, 46 Kang, Jian 3m, 7b, 97, 113 Kindo, Bereket P. 22 Kutner, Michael 74 Kang, Le 104 King, Ruth 78 Kwok, Richard 63 Kang, Shan 35 King, Stuart E. 78 Labbe, Aurélie 4e Kapur, Kush 37 Kirby, Russell 78 Laber, Eric 11j, 74 Kardia, Sharon 45 Kitago, Tomoko 96 Ladha, Alim 7l Kareken, David A. 25 Klassen, Eric 15, 34 Lai, Hui-Chuan 114 Kasari, Connie 117 Klebnov, Lev 7f Lai, Ming-Jun 122 Katenka, Natallia 1c Kleinfeld, David 7a Lai, Yinglei 124, 128 Kattan, Michael W. 81 Kleinman, Ken P. 2i Lakshminarayanan, Kawut, Steve 82 Knorr, Jack S. 3a Mani Y. 67

Keiding, Niels 65 Kodell, Ralph L. 6e Lan, Kuang-Kuo G. 67

Keller, Mark 24 Koestler, Devin C. 1f Lan, Shiwei 80

Kelly, Clare 58 Kohn, Nina 111 Landau, Sabine 87

Kemmer, Phebe B. 89 Kolaczyk, Eric 1c Landon, Bruce 61

Kendziorski, Christina 4r, 24, 102 Kolm, Paul 10c, 61 Landrum, Mary Beth 61

Kennedy, Edward H. 120 Kong, Feng-Ming 49 Lane, Adam 74

Kenward, Michael G. 44 Kong, Lan 72 Langlois, Peter H. 65

Kidwell, Kelley M. 117 Kong, Linglong 1e Larose, Chantal 127

Kim, Chanmin 46 Kong, Shengchun 99 Larsen, Michael D. 50

Kim, Chulmin 116 Kong, Xiangrong 50 Laud, Purushottam 24

Kim, Daeyoung 11d Korthauer, Keegan D. 102 Lauer, Stephen A. 2i

Kim, Eunhee 70 Kosorok, Michael R. 10e, 36, 49, 100, LaVange, Lisa M. 28 106, R9 Kim, Ho 34 Lawless, Jerry F. 55 Kraft, Peter 33, 45 Kim, Inyoung 34 Lawson, Andrew B. 78, SC7 Krafty, Robert T. 94 Kim, Jaejik 104 Laxminarayan, Krall, Jenna R. 127 Ramanan 111 Kim, Janet S. 20, 96 Kransler, Kevin 8a Lazar, Nicole A. 63 Kim, Jinheum 102 Krumholz, Harlan M. 31 Lee, Adel 38 Kim, Jong-Min 11d Kruse, Jane 19 Lee, Chi Hyun 114 Kim, Namhee 58 Kryger Jensen, Lee, Ching-Wen 37 Kim, Sehee 6f Andreas 43 Lee, Eun-Joo 6a Kim, Soyoung 105 Kuczek, Thomas 130

106 ENAR 2014 | SPRING MEETING | MARCH 16–19 Lee, EunYoung 63 Li, Meijuan 21 Liao, Shu-Min 11d

Lee, J. Jack 2b, 48 Li, Meng 20 Lilly, Michael B. 35, 66

Lee, Juhee 85 Li, Ming-Chung 14 Lim, Hyun J. 125

Lee, Kuang-Yao 71 Li, Minming 117 Lin, Chien-Wei 75

Lee, Minjung 88 Li, Peng 50 Lin, Danyu 1d, 35, 75, 82, 129

Lee, Seonjoo 112 Li, Qin 103 Lin, Haiqun 31

Lee, Seung-Hwan 6b Li, Qiwei 32 Lin, Hongbo 2a

Lee, Seunggeun 45 Li, Quefeng 100 Lin, Hui-Min 126

Leek, Jeffrey T. 4m, 7e, 12, 24, Li, Qunhua 4l Lin, Keng-Han 82 57, 90 Li, Runze 11k Lin, Weili 101 Legrand, Catherine 76 Li, Ruosha 71 Lin, Xihong 57, 82, 91, 130 Lehmann, Doug 61 Li, Shanshan 70, 81 Lin, Yan 22 Leisenring, Wendy 128 Li, Shi 8h Lindquist, Martin A. 7m, 93, 112 Lemire, Mathieu 4e Li, Shi 26 Lindsay, Bruce G. 30, 57 Lenarcic, Alan B. 32 Li, Shuang 4o Linero, Antonio 85 Leng, Ning 4r Li, Shu-xia 31 Ling, Qiang 101 Lesser, Martin L. 111 Li, Tan 32 Ling, Yun 37 Levin, Bruce R3 Li, Xiaochun 87 Linkletter, Crystal 113 Lewis, Mark 98 Li, Xiaomao 24 Lipkovich, Ilya 28 Lewis, Mechelle 63 Li, Xiaoshan 7j Lipsitz, Stuart 114 Li, Ben 32 Li, Xiaoxue 128 Lipton, Michael L. 58 Li, Bing 71 Li, Xinmin 128 Little, Roderick J. 51 Li, Bingshan 75 Li, Yang 72 Liu, Danping 79, 129 Li, Cheng 3d Li, Yehua 110 Liu, Guanghan 67 Li, Cong 124 Li, Yi 6f, 61, 105, 124 Liu, Guodong 72 Li, Fan 39, 64 Li, Yimei 7n Liu, Hai 73 Li, Gen 47, 55 Li, Yuan 4r Liu, Han 14, 19, 22, 97 Li, Grace 49 Li, Yun 61, 75, 107, 130 Liu, Hanhua 87 Li, Haocheng 44 Li, Zheng 74 Liu, Jihong 78 Li, Heng 23 Li, Zhi 19 Liu, Jin 124 Li, Hongzhe 24, 27, 45, 57 Liang, Hua 10g, 128 Liu, Jingchen 69 Li, Junlong 100 Liao, Fangzi 50 Liu, Jun S. 83 Li, Leping 130 Liao, Ge 22 Liu, Ke 76 Li, Lerong 20 Liao, Katherine 34 Liu, Kenneth 48 Li, Lexin 7j Liao, Peizhou 95 Liu, Lan 122 Li, Li 99 Liao, Serena 7h Liu, Li 1k Li, Lingling 87

PROGRAM 107 Liu, Minzhao 115 Lum, Kristian 60 Mao, Lu 35

Liu, Peng 78 Lunagomez, Simon 40 Marazita, Mary L. 24

INDEX Liu, Piaomu 76 Luo, Lola 18 Marchionni, Luigi 104

Liu, Qian 36 Luo, Sheng 3e, 72, 116 Marcovitz, Michelle S. 3g

Liu, Qing 125 Luo, Xi 80 Marcus, Beth H. 46

Liu, Shelley 4q Luo, Xianghua 114 Markovic, Ana 90

Liu, Shuchang 104 Luo, Zhehui 92 Marron, J. S. 7l, 15

Liu, Shuling 36 Lyles, Robert H. 73 Marsit, Carmen J. 1f

Liu, Xiaoxi 99 Lynch, Miranda L. 63 Martinez, Elvis 114

Liu, Xiaoxue 18 Lystig, Theodore 54 Mateen, Farrah J. 97

Liu, Yeqian 76 Ma, Fei 36 Mathew, Thomas 87

Liu, Ying 115 Ma, Hua 103 Matsui, Elizabeth C. 38

Liu, Yufeng 11e, 22, 124 Ma, Junshui 48 Matuzak, Martha 49

Liu, Yulun 126 Ma, Ling 59 Maxwell, Taylor 45

Liu, Zhuqing 58 Ma, Rick 105 Mayberg, Helen S. 97

Liublinska, Victoria 9a Ma, Shuangge 11k, 70, 124 Mazumdar, Sati 115

Lobach, Iryna 62 Ma, Xiaoye 60 McCall, Mathew N. 33

Lock Morgan, Kari 39 Ma, Yanyuan 71 McCarthy, Patrick M. 19

Logan, Roger W. 22 Maas, Paige 5b McClelland, Robyn L. 18

Lok, Judith J. 120, 129 MacMillan, Denise K. 118 McClintock, Scott 34

Lombard, Fred 88 Madigan, David 93 McClure, Leslie A. 2h, 117

Long, D. Leann 9c Mahmoud, Hamdy 34 McCracken, Courtney E. 21 Long, Dustin M. 107 Mahshie, James 50 McCulloch, Charles 44 Long, Qi 7b, 61 Maier, Verena 112 McDowell, Jennifer E. 63 Looney, Stephen W. 21 Mairal, Julien 7p McGee, Edwin 19 Lopa, Samia H. 86 Maitland, Michael 85 McGready, John 12 Lopez, Adriana 50 Maity, Arnab 20, 62, 96 Mcintosh, Brian E. 4r Loredo-Osti, J.C. 33, 86 Malaisrie, S. Chris 19 McLean, Mathew W. 20 Louis, Thomas A. 126, R4 Malec, Don 79 McMahan, Lu, Qing 122 Mallick, Bani 3q Christopher S. 71

Lu, Tao 113 Malone, Steve 7c McMurray, Helene 33

Lu, TingTing 3j, 60 Manatunga, Amita K. 36, 114, R1 Meeden, Glen D. 63

Lu, Wenbin 6d Mandrekar, Vidyadhar 47 Meeker, John D. 8h

Lu, Wenjing 37 Mangold, Elisabeth 24 Meirelles, Osorio D. 75, 130

Lu, Yi 10b Manser, Paul T. 4g Mejia, Amanda 7m

Lu, Zhaohua 7n Manyam, Ganiraju 62 Mendolia, Franco 125

108 ENAR 2014 | SPRING MEETING | MARCH 16–19 Menon, Sandeep M. 28 Muller, Samuel 4b Ning, Yang 47, 71

Mercola, Dan A. 35, 66 Murphy, Susan 11c Niu, Liang 130

Mermin, Jonathan 84 Murray, Jeffrey C. 24 Nobel, Andrew B. 47, 55

Merrill, Peter D. 2h Murray, Susan 49 Normand, Sharon-Lise T. 3i, T1 Meyer, Mark J. 62 Murray, Thomas A. 122 North, Kari E. 1d, 75 Meyer, Nick 74 Muschelli, John 47 Nugent, Rebecca 12 Miller, David L. 96 Nagaraja, Ramaiah 75 Nychka, Doug 18 Mills, James L. 43, 62 Nahum-Shani, Inbal 117 Oakes, David 125 Minsker, Stanislav 100 Nam, Chung Mo 102 Oberlin, Brandon G. 25 Mireless, Lynn 4p Nam, Kijoeng 7o Obuchowski, Nancy A. 103 Mishra-Kalyani, Nan, Bin 19, 99, 100 Pallavi S. 61 Ochs, Michael F. 90 Napelenok, Sergey L. 118 Mitchell, Emily M. 73 Ogbagaber, Semhar B. 87 Nathoo, Farouk S. 3l Mitchell, Shira 60 Ogburn, Elizabeth L. 39 Neas, Lucas M. 118 Mitra, Nandita 82 Ogden, R. Todd 62, 96, T2 Neaton, James D. 126 Mittleman, Murray 38 Oh, Sam 33 Nebel, Mary Beth 7m, 112 Molenberghs, Geert 44, 107, SC1 Ohno, Yuko 23 Needham, Dale M. 20 Momin, Amin 3q Okosun, Ike 9b Neelon, Brian 101 Mondal, Shoubhik 59 Olson Hunt, Megan J. 127 Nelson, Jennifer C. 54 Monge, Susana 22 O’Malley, A. James 61 Nelson, Sybil L. 7d Monoghan, Andrew 109 O’Malley, Stephanie 5d Nesvizhskii, Alexey 53 Moonie, Sheniz 35 Ombao, Hernando 58, 80, 89 Nettleton, Dan 78, 83 Moorman, David 80 Orr, Megan 78 Neugebauer, Romain 92 Morris, Jeffrey S. 15, 62 Ortmann, Ward 24 Neuhaus, John 44 Morton, Sally C. 51 Osgood, Nathaniel 125 Neumann, Christoph 4n Mostofsky, Stewart 7m Ostrovnaya, Irina 88, 102 Newton, Michael A. 66 Motta, Giovanni 94 Ott, Miles Q. 113 Neykov, Matey 57 Mudholkar, Govind 2j Ou, Fang-Shu 59 Nguyen, Bao K. 4r Muehleman, Amber 98 Ounpraseuth, Nguyen, Yet 83 Songthip T. 6e Mueller, Peter 85 Ni, Ai 73 Ozonoff, Al 60 Mukherjee, Bhramar 8h, 26, 45 Nichols, Thomas E. 97 Pacifici, Krishna 74 Mukhi, Vandana 23 Nicolaie, Mioara Alina 76 Padmanaban, Shweta 2e Müller, Hans-Georg 43 Nie, Lei 100 Pagano, Marcello 111 Muller, Keith 119 Nightingale, Glenna F. 78 Pal Choudhury, Müller, Peter T3 Parichoy 33 Ning, Jing 21, 81 Palmas, Walter 45

PROGRAM 109 Pan, Wei 24, 36, 45, 121 Pirracchio, Romain 92 Raghunathan, Trivellore 115 Pandya, Raj 109 Podolsky, Robert H. 4o, 50 Rahardja, Dewi 46 INDEX Pankow, James 33 Pomann, Gina-Maria 89 Rahman, AKM F. 59 Pardo, Fernando 32 Potgieter, Cornelis J. 88 Ramachandran, Park, JuHyun 95 Pounds, Stan 90 Gurumurthy 63

Park, Junyong 126 Pourahmadi, Mohsen 16 Ramakrishnan, Viswanathan 7d, 74 Park, Sung Kyun 8h Powell, Helen L. 8d Ranjan, Ashutosh 117 Park, Yongseok 88 Prado, Raquel 58 Rao, Shangbang 89 Parker, Jennifer D. 84 Pramanik, Santanu 111 Rappold, Ana G. 118 Parker, Margaret M. 24 Prejean, Joseph 84 Rathouz, Paul 128 Parmigiani, Giovanni 61 Presnell, Brett D. 10i Ray, Meredith 113 Patil, Prasad 90 Prezant, David 18 Real, Leslie 109 Patil, Sujata M. 48 Price, Dionne L. R6 Redden, David T. 50, 61 Patterson. Andrew D. 121 Price, Elinora 76 Regier, Michael D. 73 Pawlikowska, Iwona 90 Price, Karen L. 29 Reich, Brian J. 38, 74, 85, 108, 118 Payne, Anthony 33 Proschel, Christoph 7f Reich, Daniel S. 89, 97, 112 Peddada, Shyamal D. 101 Puggioni, Gavino 109 Reich, Nicholas G. 2i Peña, Edsel A. 22, 59, 76 Purcell, David W. 84 Reid, Nancy 47 Peng, Limin 36, 49, 114, Puzhankara, Soman 76 125, T4 Reimers, Mark A. 4g, 112 Qaqish, Bahjat F. 23 Peng, Paul Y. T7 Reiss, Philip T. 58, 96, 112 Qian, Hua 8a Peng, Roger D. 8d, 38, 127 Reiter, Jerome P. 31, 79 Qian, Lianfen 86 Pennell, Michael L. 17 Rema, Manoj T. 9b Qian, Min 106 Pennello, Gene A. 60 Ren, Chunfeng 127 Qin, Jing 17 Perkins, Neil J. 73 Renfro, Lindsay A. 102 Qin, Zhaohui S. 32, 53, 83 Pertea, Geo 57 Rice, John D. 129 Qiu, Huitong 22, 89 Petersen, Maya 92 Rice, Kenneth 26 Qiu, Peihua 1g Peterson, Derick R. 99 Richardson, Sylvia T. 53 Qu, Annie 30, 44, 123, 128 Petkova, Eva 96 Rieger, Randall H. 34 Qu, Long 130 Pfeiffer, Ruth M. 17, 124 Rinaldo, Alessandro 40 Qu, Simeng 10f Pham, Dzung L. 89, 97, 112 Rizopoulos, Dimitris 44 Qu, Yanping 63 Phillips, Daisy 23 Rodriguez, Quintana, Fernando 85 Stephanie M. 2e Phillips, Sharon B. 118 Rabe-Hesketh, Sophia 110 Roeder, Kathryn 1k Pi, Lira 22 Raghavarao, Rojas, Natalia 8f Pileggi, Anthony V. 123 Damaraju 3g

110 ENAR 2014 | SPRING MEETING | MARCH 16–19 Rom, Dror 23 Sarkar, Sanat K. 108 Sharif, Abbass 98

Romitti, Paul 76 Sattar, Abdus 110 Shastry, Shankar 78

Rose, Sherri 14 Satten, Glen A. 95 Shaubel, Douglas 76

Rosenbaum, Paul R. 73 Savik, Kay 86 Shen, Changyu 2a, 87

Rosenthal, Michael M. 2f, 14 Saville, Benjamin R. 48 Shen, Haipeng 47, 101

Rosner, Gary L. 85 Schaid, Daniel J. 24 Shen, Jincheng 87

Ross, Michelle E. 101 Scharfstein, Daniel O. 10b, 33, 126 Shen, Juan 30

Roth, Lindsey 33 Scharpf, Robert B. 4p Shen, Meiyu 11h

Rothman, Adam J. 16 Schaubel, Douglas E. 86, 105 Shen, Weining 21

Roy, Anindya 74 Schenker, Nathaniel 79, 84 Shen, Xiaotong 30, 36

Roy, Jason A. 18, 46 Schiffner, Julia 124 Shen, Yuanyuan 34

Ruberg, Stephen J. 28, 49 Schipper, Matthew 49 Sheppard, Lianne 38

Ruczinski, Ingo 4n, 24 Schisterman, Sheth-Chandra, Enrique F. 73 Manasi 18 Rudser, Kyle 99 Schlessinger, David 75, 130 Shi, Haiwen 46, 103 Ruppert, David 20 Schmid, Shi, Huidong 4o Rusyn, Ivan 55 Christopher H. 29 Shi, Peibei 123 Ryu, Duchwan 4o, 50, 104 Schnitzer, Mireille E. 120 Shi, Ran 58 Sabo, Roy T. 48, 74 Schork, Andrew 25 Shi, Xingjie 124 Saegusa, Takumi 16 Schork, Nicholas 117 Shi, Yang 41 Safo, Sandra 21 Schrack, Jennifer 18 Shi, Yi 88 Saha Chaudhuri, Schuirmann, Paramita 111 Donald J. 88 Shiee, Navid 97, 112

Sain, Stephan R. 18 Schwartzman, Armin 108 Shiffman, Saul 128

Salzberg, Steven L. 41, 57 Schwender, Holger 4n, 124 Shih, Vivian H. 21

Salzman, Julia 41 Seaman, John W. 3a, 3f, 3g, 3h Shin, Sunyoung 11e

Samadi, Seyed Yaser 47 Seetharaman, Indu 49 Shin, Yongyun 127

Samawi, Hani 103 Sen, Saunak 33 Shinohara, Russell T. 1a, 89, 97, 112

Sammel, Mary D. 52, 72 Sereika, Susan M. 37 Shojaie, Ali 16

Sampene, Emmanuel 35 Sewell, Jenny 84 Shotwell, Matthew Stephen 11g Sampson, Allan R. 50 Shabalin, Andrey 55 Shou, Haochang 62, 98, 112 Sampson, Joshua N. 4b Shah, Aarti 52, R8 Shu, Xinxin 123 Sanchez, Brisa 101 Shahbaba, Babak 80 Shu, Xu 86 Sanna, Serena 130 Shalizi, Cosma 40 Shugart, Yin Yao 4d Santelli, Rebecca C. 4h Shan, Guogen 35 Siddique, Juned 31 Saracli, Sinan 19 Shang, Hongwei 102 Sidore, Carlo 75 Sargent, Daniel J. 102 Shao, Jun 100 Siegel, Eric R. 6e Shardell, Michelle 127

PROGRAM 111 Siegmund, David 41 Staudenmayer, Sun, Xiaoqian 3n John W. 44, 98 Simon, Noah 14 Sun, Xiaoyan 114 Stefanski, Leonard A. 11i INDEX Simon, Richard 14, 106 Sun, Zhaonan 32, 130 Stenzel, Mark 63 Simpson, Charles H. 127 Sun, Zhichao 8h Sterling, Nicholas 63 Simsek, Burcin 7a Sundaram, Rajeshwari 65 Stewart, Patricia 63 Sinha, Debajyoti 114 Surendera Babu, Stewart, Paul W. 48 Aruna 84 Sinha, Sanjoy 110 Stewart, Ron 4r Sweeney, Elizabeth M. 1a, 47, 89, 97, 112 Sinnott, Jennifer A. 47 Stewart, Thomas G. 11f Sweeney, Patricia 84 Sitlani, Colleen 26 Stone, Nathan 34 Swihart, Bruce J. 43 Skrondal, Anders 110 Strasser, Sheryl 9b Symanski, Elaine 8c Slate, Elizabeth H. 22 Stromberg, Arnolod 6g Symanzik, Juergen 98 Small, Dylan S. 18, 73 Stroup, Walter W. 119 Szatkiewicz, Jin P. 95 Smith, Abigail 76 Stuart, Elizabeth A. 9d Szczesniak, Rhonda D. 72 Smith, Jennifer 45 Styner, Martin 7n Tabb, Loni P. 60 Smith, Luke B. 85 Su, Hai 6g Tadesse, Mahlet G. 32 Smith, Paul J. 7o Su, Haiyan 128 Tamhane, Ajit C. 23 Snavely, Duane 48 Su, Jingyong 15 Tan, Kay See 72 Snyder, Ellen 48 Su, Shaoyong 4o Tan, Ming 74, 102 Sobel, Michael E. 93 Su, Xiao 72 Tanaka, Toshiko 130 Sofer, Tamar 33 Su, Ya-Hui 7g, 69 Tang, Gong 19, 115, 127 Song, Minsun 45 Subramanian, Tang, Jin 110 Song, Peter X.K 9e, 57, 66 Sundarraman 59 Tang, Shaowu 22, 126 Song, Xiao 21, 70 Sugar, Catherine A. 21 Tang, Zheng-Zheng 75 Soon, Guoxing 100, 117, 126 Sugimoto, Tomoyuki 23 Tao, Ge 3p Sousa, Ines 128 Sullivan, Danielle M. 127 Tao, Ran 75 Spiegelman, Donna 6f, 119 Sullivan, Meghan 69 Tao, Yebin 8h Spieker, Andrew J. 18 Sullivan, Patrick F. 95 Tarpey, Thaddeus 64, 96 Srinivasan, Cidambi 122 Sun, Guang 33 Tatsuoka, Curtis 69 Srivastava, Anuj 15, 34 Sun, Han 4i Taub, Margaret A. 4n Srivastava, Kumar 128 Sun, Jianguo 6c, 59, 72, 76, 128 Taylor, Jeremy M.G 49, 87, 88, 100, 107, Staicu, Ana-Maria 20, 89, 96, 112 Sun, Jiayang 4i 129, T7

Stamey, James D. 46 Sun, Lei 55 Tchetgen Tchetgen, Eric J. 8j, 33 Stanek III, Edward J. 50, 111, 117 Sun, Qiang 89 Tcheuko, Lucas 104 Staniswalis, Joan 8e Sun, Wei 22 Tecson, Kristen M. 3f Starr, Jacqueline 18 Sun, Wei 33

Sun, Wenguang 108

112 ENAR 2014 | SPRING MEETING | MARCH 16–19 Teh, Yee Whye 56 Urdinola, B. Piedad 8f Wang, Huixia J. 72

Templin, Jonathan 69 Usset, Joseph 20 Wang, Jianxin 62

Teng, Ming 3l Uzzo, Robert G. 5e Wang, Jing 116

TenHaken, Randy 49 Valdar, William 32, 124 Wang, Junhui 64

Teran Hidalgo, van der Laan, Mark J. 40, 92, 93, 99 Wang, Lianming 86 Sebastian J. 10e VanderWeele, Tyler 82, T6 Wang, Lijia 115 Thall, Peter F. 106 Vannucci, Marina 32, 46, 83, 88 Wang, Lily 20, 122 Thomas, Kathleen 7c Verbeke, Geert 44, SC1 Wang, Lu 66, 87, 115 Thompson, Laura 60 Versace, Francesco 62 Wang, Lu 117 Thompson, Theodore J. 84 Vexler, Albert 3p Wang, Luojun 117

Thompson, Wesley K. 25, 94 Viele, Kert 2k Wang, Mei-Cheng 18, 70, 81

Thomson, James A. 4r Vincent, Martin 104 Wang, Min 3n

Tian, Lili 5a, 103 Virnig, Beth A. 126 Wang, Ming 37, 63

Tian, Shulan 4r Viterbi, Andrew 117 Wang, Naichen 86

Tibshirani Robert J. 77 Vock, David M. 120 Wang, Naisyin 72

Tiwari, Hemant K. 13 Volberg, Rachel A. 111 Wang, Ningtao 4k, 57, 62

Tiwari, Ram C. 54 Volk, David 50 Wang, Pei 57

Tong, Xin 46 Volpp, Kevin G. 72 Wang, Peng 30

Tong, Xingwei 128 Wacholder, Sholom 33 Wang, Sijian 123

Tran, Van 33 Wahed, Abdus S. 34, 35, 60, 87 Wang, Sue-Jane 14

Trikalinos, Thomas A. 29 Wakefield, Jon 101 Wang, Tao 24

Troxel, Andrea B. 72 Waldorp, Lourens 97 Wang, Wenting 114

Tsai, Jerry W. 32 Wall, Melanie 31, 115 Wang, Wenyi 116

Tsai, Wan-Min 5d Wallace, Meredith L. 76 Wang, Xiao 10f

Tseng, George C. 4f, 4l, 5c, 7h, 22, 53, Waller, Lance A. 38, 109 Wang, Xiaoling 4o 75, 102, 104, 126 Walters, Ryan 69 Wang, Xiaoshan 18 Tsiatis, Anastasios A. 28, 44 Wang, Antai 114 Wang, Xingbin 4f Tsokos, Chris P. 19 Wang, Chenguang 100, 103, 116 Wang, Xujing 24 Tsong, Yi 2c, 11h, 48 Wang, Chenkun 73 Wang, Yanpin 117 Tu, Shiyi 3n Wang, Chi 6g Wang, Yaping 48 Tu, Wanzhu 123 Wang, Chuan 101 Wang, Yaqun 4k, 57, 62 Tu, Xin 114 Wang, Dewei 71 Wang, Yifan 43, 62 Turley, Falynn C. 61 Wang, Fei 66 Wang, Yishi 7i Turnbull, Bruce 74 Wang, Haiying 72, 125 Wang, Yuan 7l Tzeng, Jung-Ying 95 Wang, Hao 22 Wang, Yuan 89 Umbach, David M. 130 Wang, Haonan 7l Wang, Yuanjia 64, 71, 99, 115 Urbanek, Jacek 25, 112

PROGRAM 113 Wang, Zhaoran 19 Wright, Fred A. 55 Xing, Fuyong 6g

Wang, Zhong 62 Wu, Changbao 127 Xiong, Momiao 20, 43, 62

INDEX Warren, Joshua L. 13, 38, 65 Wu, Chong 33 Xu, Guangning 11i

Watkins, Valerie J. 7i Wu, Colin O. 123 Xu, Hongquan 102

Webber, Mayris 18 Wu, Gang 90 Xu, Hongyan 4o, 50, 104

Webb-Vargas, Wu, Han 83 Xu, Hui 76 Yenny G. 9d Wu, Hao SC4 Xu, Jian-Lun 129 Weeks, Daniel E. 75 Wu, Hongqian 8l Xu, Mengyuan 116 Weerahandi, Samaradasa 10d Wu, Hulin 128 Xu, Tu 64

Wei, Changshuai 122 Wu, Jianrong 10g Xu, Xiao 31

Wei, Hua 63 Wu, Jincao 124 Xu, Yaoyao 100

Wei, Lai 71 Wu, Jingwei 64 Xue, Lan 123

Wei, Peng 45, 71 Wu, Michael C. 10e, 11f, 90 Yabes, Jonathan 59

Wei, Susan 49 Wu, Pan 87 Yakir, Benjamin 41

Wei, Yingying 90 Wu, Qian 57 Yan, Song 75

Weintraub, William S. 61 Wu, Rongling 4k, 57, 62 Yang, Can 124

Weissfeld, Lisa A. 37 Wu, Song 90 Yang, Dan 47

Wellenius, Gregory A. 38 Wu, Tianshuang 11c Yang, Hsih-Te 130

Wen, Xiaoquan 26 Wu, Wei 34 Yang, Jie 90

Weng, Yu-Ting 34 Wu, Wen-Chi 114 Yang, Jing 125

Wey, Andrew 99 Wu, Wensong 32 Yang, Jingjing 32

Wiedinmyer, Christine 109 Wu, Xiao 58 Yang, Lin 6g

Wiener, R. Constance 9c Wu, Ying 49 Yang, Rendong 53

Wilding, Gregory 88 Wu, Zhenke 126 Yang, Song 17

Wilkins, Kenneth J. 2e Xi, Dong 23 Yang, Yang 74

Williams, Brett 84 Xi, Mingyu 34 Yang, Yang 101

Williams, D'Ann L. 38 Xia, Changming 10g Yang, Yuchen 6g

Williams, Robert J. 111 Xia, Kai 4h Yap, Pew-Thian 89

Wilson, Alexander F. 43 Xia, Rong 8k Ye, Changqing 30

Wilson, Ander 118 Xia, Xi 3c Ye, Lei 37

Wilson, Janean 50 Xiao, Luo 10j Ye, Shuyun 24

Wing, Mary Kate 75 Xiao, Tao 17 Yi, Grace 47

Wolf, Bethany J. 7d, 22 Xiao, Wei 6d Yi, Hui 130

Won, Kyoung-Jae 57 Xie, Peijin 10d Yi, Min 11a

Wong, Weng Kee 102 Xie, Sharon X. 125 Yi, Min 72

Wong, Yu-Ning 5e Xie, Yuying 124 Yin, Jingjing 5a

114 ENAR 2014 | SPRING MEETING | MARCH 16–19 Yin, Zhaoyu 4h Zhang, Hao 8f Zheng, Yingye 5g, 81

Youk, Ada O. 37, 60 Zhang, Hao Helen 6d, 42 Zhong, Ping-Shou 47

Young, Jessica G. 8j Zhang, Heping 5d Zhong, Wenxuan 42

Young, Nicolas L. 104 Zhang, Hongmei 3o, 32, 46, 113 Zhou, Bo 80

Young, Robert 10c Zhang, Jianliang 67 Zhou, Feng 47

Younkin, Samuel G. 4n, 24 Zhang, Jing 113, 126 Zhou, Hua 7j

Yu, Bin 7p Zhang, Jinghui 90 Zhou, Jin 2g

Yu, Binbing 10h Zhang, Lijun 63 Zhou, Jing 113

Yu, Ching-Ray 10d Zhang, Lin 15 Zhou, Minchun 11g

Yu, Menggang 100 Zhang, Linlin 88 Zhou, Qingning 6c

Yu, Shuli 50 Zhang, Min 25, 45 Zhou, Xiao-Hua 70, 79

Yu, Tianwei 53 Zhang, Na 11j Zhou, Yan 57

Yu, Zhangsheng 123 Zhang, Nancy R. 41 Zhou, Yi-Hui 55

Yu, Zhaoxia 80 Zhang, Ruoxin 73 Zhou, Yong 76

Yu, Zhe 58 Zhang, Tingting 64 Zhu, Hongjian 48, 117

Yu, Ziji 2j Zhang, Tong 19 Zhu, Hongtu 1e, 7n, 34, 89, 101

Yuan, Ying 21, 74, 101, 116 Zhang, Wei 86 Zhu, Hongxiao 32

Yue, Chen 89 Zhang, Xuekui 27 Zhu, Huirong 116

Yung, Godwin 130 Zhang, Yang 19 Zhu, Ji 57, 105, 124

Zaleski, Rosemary 8a Zhang, Ying 8l, 37, 76 Zhu, Jiawen 90

Zanke, Brent W. 4e Zhang, Yiwei 45 Zhu, Liang 128

Zaslavsky, Alan M. 39, 60 Zhang, Yun 50 Zhu, Wei 4c

Zee, Jarcy 125 Zhang, Zhiwei 100 Zhu, Yeying 39

Zeig-Owens, Rachel 18 Zhang, Zugui 61 Zhu, Yu 32, 83, 130

Zeng, Donglin 11f, 59, 64, 70, Zhao, Hongyu 41, 71, 124 Zhu, Yun 43 75, 99, 100, 129 Zhao, Jinying 43 Zhu, Yunzhang 30 Zeng, Peng 42 Zhao, Jiwei 127 Ziegler, Regina G. 33 Zeng, Zhen 4j Zhao, Ni 90 Zigler, Corwin 61 Zhan, Jia 87 Zhao, Sihai D. 45 Zimmerman, Dale 116 Zhan, Xiang 45, 121 Zhao, Tuo 14 Zink, Richard C. 54 Zhang, Anru 73 Zhao, Yihong 62 Zipunnikov, Vadim 62, 89, 98, 112 Zhang, Daowen 72 Zhao, Yingqi 100 Zoellner, Sebastian 82 Zhang, Fanni 124 Zhao, Zhigen 48 Zou, Kelly H. 10d Zhang, Guangyu 84 Zheng, Jolene 8i Zou, Fei 4h

Zheng, Qi 49 Zubizarreta, Jose 61

Zheng, Wenjing 92 Zylbersztejn, Anna 68

PROGRAM 115 GRAND BALLROOM FLOOR PLAN

116 ENAR 2014 | SPRING MEETING | MARCH 16–19 HARBORSIDE BALLROOM FLOOR PLAN

PROGRAM 117 WATERVIEW BALLROOM FLOOR PLAN

with IMS and Sections of ASA

118 ENAR 2014 | SPRING MEETING | MARCH 16–19 ENAR 2014 SPRING MEETING

12100 Sunset Hills Road Suite 130 Reston, Virginia 20190 703.437.4377 Fax 703.435.4390