Preliminary Program MARCH 1, 2012 APRIL 1–4 APRIL WITH IMS AND SECTIONS OF ASA Hyatt Regency Washington on Capitol Hill – Washington, DC EARLY BIRD DEADLINE – EARLY 2012 SPRING MEETING

1 The Eastern North American Region of the International Biometric Society welcomes you to our 2012 Spring Meeting to be held April 1–4 in Washington, DC together

WELCOME with the IMS and Sections of the ASA.

With the help of many of you, we have I am particularly excited about our Presidential of our field for statisticians in academia, assembled scientific and educational Invited Address, “Engaging, Inspiring, and industry and the federal government. Sincere programs we hope you will find exciting. Training the Next Generation: Past Successes, thanks for their help in brainstorming and We introduce two new program initiatives, Future Challenges and Opportunities,” to be identifying these outstanding offerings to and advance a student initiative begun last given by Professor Marie Davidian of the our 2012 Educational Advisory Committee year, to broadly incorporate and recognize North Carolina State University. Among honors of Brad Carlin, Dean Follmann, Joe Hogan, our members’ contributions. We will host too numerous to recount here, Professor Gene Pennello, and Jose Pinheiro, as old favorites including a Young Investigator Davidian is our former ENAR President well as RAB. We hope you will partake of Workshop, a Diversity Workshop, roundtables, (2004), President-elect-elect of the American the outstanding learning and networking student paper awards and a networking and Statistical Association, and the recipient of opportunities to occur. social event. Finally, our site of Washington, two COPSS awards. Professor Davidian’s DC, with disclosure that I am a native, can contributions to our profession span statistical For those of you who are emerging into our be glorious during our early spring meeting discovery, advancement of scholarship in profession, we have planned many additional dates. Our hotel sits in sightline of the Capitol pharmacokinetics, pharmacodynamics, and opportunities. The ENAR Regional Advisory Building. The 2012 meeting occurs in the clinical research, outstanding mentorship Board has established a Graduate Student heart of the 100th National Cherry Blossom of junior researchers, vigorous efforts to and Recent Graduate Council to help ENAR Festival. attract students for our field, and extensive better address the needs of students and service in ENAR, our other societies, and recent graduates. This council is organizing Our Program Chair, Debashis Ghosh of national panels. Informed as she is by these ENAR’s first-ever student-organized invited Penn State University, Co-Chair Jonathan wide ranging and dedicated perspectives, session. Other events for our student Schildcrout of Vanderbilt University, and I could not imagine a leader among us to registrants include a Monday evening student their Program Committee have assembled better stimulate or energize our thinking on mixer, our new RAB Poster Awards, and a roster of invited sessions to appeal to a the challenges, opportunities and future for of course ENAR’s annual student paper broad variety of scientific interests. Topics our field both generally and as they relate to competition. In addition, we will host both span clinical trial design and analysis, causal attracting talented students to our profession. of our two extremely popular workshops inference, high-dimensional and functional I thank her for her willingness to share her for prospective and emerging statisticians data analysis, genomics, risk prediction and thoughts with us. Additionally, we are fortunate at our meeting: On Saturday, our Workshop diagnosis, general methodology, and specific that the IMS will be hosting a first with us: for Junior Investigators, and on Sunday, a application areas spanning diseases to The recently established IMS Tweedie Lecture Diversity Workshop. In recent years both of environmental epidemiology to health policy. recognizing an outstanding researcher within these workshops have filled to capacity very Additionally we will have special sessions five years of receiving his or her doctoral quickly, so that interested attendees should featuring noteworthy papers from the Journal degree. Congratulations to our Tweedie be sure to register early. Finally, for those of Agricultural, Biological and Environmental lecturer, Hui Zou of the University seeking employment, don’t miss our ever- Statistics, surveying grant funding of Minnesota. growing Career Placement Center. opportunities, and commemorating our colleague who made so many contributions Our 2012 Spring Meeting has much to We hope you will join us in the networking to his colleagues and students, ENAR and offer for scholars of all ages. ENAR is and social event we have planned for Tuesday our profession, Tom TenHave. Sincere thanks proud to offer an outstanding array of short evening of the meeting: A dinner outing go to Debashis, Jonathan, their committee– courses and tutorials across topics ranging to the Mount Vernon site featuring private representing ENAR, IMS, and eight ASA from cutting-edge general biostatistical access to the Donald W. Reynolds Museum Sections, and the many who submitted invited methodology, to clinical trials and translation, and Education Center. Our site visiting team paper proposals. to biological applications, to computing was delighted by this outstandingly well done and software implementation. Additionally and engaging museum facility on the life and roundtables offer discussion opportunities living environment of George Washington. relating to professional development, specialized methodology, and advancement

2 ENAR 2012 SPRING MEETING APRIL 1–4 WELCOME

The drive out along Washington’s lovely George Washington Parkway, dinner, and museum time to be offered by the event present opportunity to network with colleagues in a beautiful setting: We hope that many of you will join us! Please see page 5 for details. Additionally, our Local Arrangements Committee and ENAR officers have recommended other fun activities for you to pursue while in Washington (see pages 6–8). We encourage you to enjoy several while you’re in town for the meeting. Finally, we are working on plans to continue our recent tradition of community outreach: Watch for details on our website and future communications. Thanks so much to our Local Arrangements Chair, Rochelle Tractenberg of Georgetown University, and the Local Arrangements Committee, for their help on all these fronts. SECTION PAGE Finally, I wish to thank Kathy Hoskins, our Welcome ENAR Executive Director, Laura Yarborough and Overview 2 – 3 Jennifer Weitz, and their other colleagues at Drohan Management for their amazing, General Information 4 – 5 year-round efforts to maintain ENAR as Washington, DC a professional organization of value to its Highlights 6 – 8 members. If you have a chance, please stop Program Summary 10 – 15 by the registration desk to thank them for all CONTENTS Scientific Program 17 – 61 they have done in making the ENAR 2012 Spring Meeting a success. Special Thanks 63 Presidential Invited Speaker 64 We hope to see you in IMS Washington in April! Tweedie Lecturer 65 Short Courses 67 – 70 Karen Bandeen-Roche Tutorials 71 – 72 ENAR 2012 President Roundtables 73 – 75 Career Placement Services 78 – 79 Meeting Registration Form 80 Hotel Registration Form 81 Membership Form 82

3 Preliminary Program MEETING DATES Sunday, April 1, 2012 through Wednesday, April 4, 2012 at 12:15 pm

Location New Member Reception, Opening Be sure to register in advance, since Hyatt Regency Washington Mixer, and Poster Session courses close once they are full. Use either on Capitol Hill A new member reception will be held from the registration form on page 80 or the 400 New Jersey Avenue, NW 7:30 to 8:00 pm on Sunday, April 1. All electronic registration form on the ENAR Washington, D.C., USA 20001 new ENAR members are cordially invited website (www.ENAR.org/meetings.cfm). Tel: 202-737-1234 to attend. The Opening Mixer and Poster Fax: 202-737-5773 Session (included in the registration fee) Tutorials washingtonregency.hyatt.com will take place from 8:00 to 11:00 pm on Tutorials are offered on Monday and Sunday, April 1. Tuesday, concurrent with the scientific

GENERAL INFORMATION GENERAL Registration program. These offerings provide a pre- Advance registration using either the Roundtable Luncheons sentation of a continuing education topic Registration Form on page 80 or at This year, the roundtable luncheons will be in a briefer time period (1 hour and 45 www.enar.org is preferred and costs less held on Monday, April 2, from 12:15 to minutes). Fees for the tutorials are $75 for Registration Hours: 1:30 pm. Space for each roundtable is lim- members ($85 after March 1) and $85 Saturday, March 31 – 3:00 to 5:00 pm ited and pre-registration is advised. The fee for non-members ($95 after March 1). Sunday, April 1 – 7:30 am to 6:00 pm is $35 per person and includes lunch. For Be sure to register in advance, since tutori- The registration fee includes refreshment topic information, please see pages 73-75. als close once they are full. breaks and the opening mixer. The registration fee, less a $100 administrative Short Courses Student Mixer fee, is refundable if written notice of The 2012 ENAR meeting will begin with All students are invited to attend the student cancellation is received by March 1, 2012. an exciting set of short courses on Sunday, mixer on Monday, April 2, from 6:30 to April 1. See below for the registration fees 7:30 pm. Registration is not required. for these Short Courses. MEETING REGISTRATION FEES SHORT COURSE REGISTRATION FEES

RECEIVED RECEIVED

BY March 1 AFTER March 1 BY March 1 AFTER March 1

ENAR/WNAR/IBS Member $ 335 $ 375 Half Day Full Day Half Day Full Day ASA Member $ 355 $ 400 Member $ 160 $ 250 $ 185 $ 275 (Not a Member of ENAR/WNAR/IBS) Nonmember $ 200 $ 300 $ 225 $ 320 IMS Member $ 335 $ 375 (Not a Member of ENAR/WNAR/IBS) Register for two half day courses and save! ($355 – $20 IMS contribution = $335) Student Member $ 150 $ 160 See Pages 67-70 for Course Details Guest Fee $ 40 $ 50 Nonmember $ 465 $ 510 Savings Information Provided on Page 80 (Of Any Participating Society) Student Nonmember $ 185 $ 200

4 ENAR 2012 SPRING MEETING APRIL 1–4 Hotel Accommodations From Dulles International Airport Getting Around Town Hyatt Regency Washington Taxi: Taxis are available on the lower level Metro: For assistance in planning your travel, on Capitol Hill outside baggage claim. The fare is approxi- contact the hotel concierge, or visit: 400 New Jersey Avenue, NW mately $60 to $80 (50–60 minutes) www.wmata.com for complete maps, Washington, DC, USA 20001 Super Shuttle: The approximate fare is schedules, fares and trip ideas. Tel: 202-737-1234 $26 one way ($10 for additional passengers Parking Fax: 202-737-5773 within same party). Hyatt Regency Washington on Capitol Hill is washingtonregency.hyatt.com From Baltimore/Washington Airport pleased to offer indoor valet parking for hotel Transportation Taxi: Taxis are available on the lower level guests at the rate of $41 per night (Including From Ronald Reagan National Airport outside baggage claim. Fare is approximately in/out privileges). Taxi: Taxis to the hotel are available outside $63 (1 hour) For conference attendees and visitors to the the baggage claim area. The fare is approxi- MARC Train hotel, hourly valet parking is available: mately $14 to $18 (10–20 minutes) This is a commuter train from BWI to Union 0–1 hours = $20 Metro Subway: Take the Yellow line from Station, which is three blocks from the hotel. 1–2 hours = $25

GENERAL INFORMATION GENERAL Ronald Reagan National Airport to the Gallery The approximate cost is $7 one way. The 2–10 hours = $28 Place/Chinatown stop. Transfer to the Red MARC train runs weekdays only. 10–24 hours = $41 line to Union Station (2nd stop). The Union Super Shuttle: The approximate fare is Abstract Book - Go Green & Save Station Metro stop is located three blocks $37 one way ($12 for additional passengers At this year’s spring meeting, you have the from the hotel. The fare is approximately within same party). option of receiving the abstracts in hard copy, $2.70 (20–25 min). Fares may vary or Go Green and opt for online access only. From Amtrak/Union Station based on time of day. To check fares visit Receive a $5 discount off the registration Walking: The hotel is located 3 blocks from www.wmata.com. fee when you select the Green “online only” Union Station. Follow exit signs to get to the option on the registration form. Super Shuttle: Available 7 days a week. front of Union Station. Take E Street (between Shuttle vans are located at Ronald Reagan the semi-circle of flags) to the intersection of All attendees will receive a hard copy of the National Airport, outside the baggage claim E Street, NW and New Jersey Avenue, NW. booklet containing all session and speaker area at Ground Transportation. Look for the The hotel will be directly in front of you. names, times, and talk locations. blue vans with yellow lettering. The shuttles make multiple stops and drop off directly at Taxi: Taxis are available outside the main Placement Service the hotel. Advance reservations may be made entrance of Union Station. Approximate fare There will be a job placement service at by calling 800-BlueVan (800-258-3826) or is $5.50, with possible surcharges. the 2012 Spring Meeting. Additional infor- online at www.supershuttle.com. Approximate mation and registration forms are located fare is $14 one way, timing is dependant on pages 78 & 79. upon number of stops required by passengers.

TUESDAY EVENING NETWORKING AND SOCIAL EVENT Dinner and Private Tour at the Mount Vernon Estate This event will take us back in time to the 18th century and the life Mount Vernon Mansion, which closes at and times of George Washington. We will take motor coaches from 5:00 pm at this time of year. More the hotel along a 35–40 minute scenic route over the Potomac River information on this historic site can be to Mount Vernon, one of America’s most visited historic home sites. found by visiting: www.mountvernon.org The evening will begin with a three-course, candle-lit dinner at the This optional event includes a private tour of Mount Vernon Inn, which is located at the front of the estate’s prop- the Mount Vernon Museum and Education erty. After dinner, as our highlight, we will have hour-long private ac- Center and dinner at the Mount Vernon Inn. cess to the Mount Vernon Museum and Education Center – a unique (Please note that there will be a cash bar experience that includes a traditional museum as well as an interac- and that the registration fee does not include tive educational tour. Both the Museum and Education Center feature the cost of alcoholic beverages.) interactive displays, movies, and high-tech, and immersive experi- ences in addition to more than 700 artifacts. It is important We hope you will join us! to note that this evening event does not include a tour of the

5 Our nation's capital, Washington, DC, might be one of the few places that the majority of US citizens “have”

visited if they've been outside their home state.

from the expanded Air and Space Museum, Building Museum will open a new exhibi- the Udvar-Hazy Center, where the Space tion about architectural and urban design Shuttle, among other astonishing aero- proposals for DC (unbuilt) from the 1790s nautical exemplars, is now housed. Again, to today (starting November 2011) and the Udvar-Hazy is not on the National Mall but it National Postal Museum (across from Union is a site worth devoting the "extra" time to. Station) has a unique collection of Amelia Earhart's personal artifacts, and will open a On or near the National Mall are several ex- new exhibition about mail and US military ceptional museums, galleries, and exhibits troops in November 2011. One last Mall- that you might not yet have experienced, or based suggestion is the Smithsonian Castle that have been recently updated, reno- itself, where you will find a display repre- vated, or otherwise improved. For example, senting *all* of the Smithsonian collections. in 2008 the American History Museum WELCOME TO WASHINGTON, DC WASHINGTON, WELCOME TO opened its new gallery to showcase the There are many other interesting museums actual "star-spangled banner", and the and opportunities beyond the museums National Portrait Gallery has a new exhibit and monuments near or on the National on the Civil War coinciding with the 150th Mall, including the Spy Museum, the New- anniversary of the start of the war, as well seum, and the National Firearms Museum. as artifacts and letters from both Generals Tours of DC that you might not yet have Grant and Lee, and an exhibit on "Ameri- experienced include Monuments by Night Whether with your grade school class on can Origins" (1600–1900). The Petersen - one of which departs from Union Station, a field trip or with your family, there are an House, where Lincoln died, and Ford's and a TV and Movie Sites Tour of Washing- incredible number and variety of events, Theatre (across the street from it), have ton, DC. In between all of these museums exhibits, and experiences that, because both been renovated and rehabilitated and and tours are innumerable options for they're often described as "can't miss", will be reopened by the time of the ENAR eating and drinking (including the Capital have not been missed! While you can meeting. The National Museum of Health City Brewing Company, "the first brewpub arrange a tour of the White House through and Medicine is in the process of moving in Washington, DC since prohibition" across your member of Congress or Senator, to a new location (not on the National Mall) the street from Union Station). through your congressperson's office up and has both Lincoln and Civil War exhibits. to six months in advance of any visit, there Walking between sites (for touring or are many other attractions that you might Ongoing opportunities that you might not meals!) is a fantastic variety of architecture not have had time for in earlier visits. The yet have experienced include the 70th and design – including the Capitol Rotunda, Local Arrangements Committee for ENAR season of concerts in the National Gal- located very nearby the conference hotel. 2012 wants to invite you to consider some lery of Art (beginning September 2011), The Local Arrangements Committee of these "other" opportunities. For ex- bringing an additional dimension to the art welcomes you to Washington, DC and ample, if you're flying into/out of BWI, you showcased here (in both the East and West hopes you enjoy every aspect of your visit, could visit the nearby National Cryptologic Buildings); a 5-month exhibition of Picasso whether you try new museums or exhibits Museum which, because it is not in DC, drawings at the National Gallery of Art or re-visit your favorites! might be one site you have not yet seen. If closes 6 May 2012. For outdoor exhibits, you're flying out of Dulles instead, there is the Hirshhorn Museum and Sculpture Gar- an airport shuttle that will take you to and den and National Arboretum, with its grove of state trees from nearly all 50 states, are excellent choices (the National Gallery of Art also has a sculpture garden). The National

6 ENAR 2012 SPRING MEETING APRIL 1–4 all may be a personal Mike Daniels connection – whether it 2010-2011 ENAR Treasurer be the sight of a fighter Capitol Lounge plane like your father 231 Pennsylvania Ave, SE or grandfather flew, reminiscence of grainy Though only a select few seemed to take images coming in from my recommendation in Miami at ENAR Apollo 11, or recalling 2011 of putting back a few cold ones at your first wonderment The Democratic Republic of Beer (you seeing nebulae and missed out on a great place!), I will try galaxies courtesy of the again to identify a comfortable and well- Hubble Telescope. In stocked watering hole for ENAR 2012. Make your way over to the Capitol Lounge Karen Bandeen-Roche my case it’s the “Looking at Earth” exhibit with a very nice selection of bottled beers 2012 ENAR President where I can see the TIROS, ITOS and GOES including Bear Republic Racer 5 IPA (from The National Air and Space Museum satellites my dad helped send up, savor the thrill of those years for him, and honor the the left coast and one of my personal Feeling you could use an injection of awe in favorites) and Duvel (from Belgium). Finish your workaday life? The thrill of imagination reams of satellite analysis he brought home as the genesis of my interest in data. off the night with Young’s Double Chocolate transformed into invention… the grandeur Stout (from the UK) for dessert (yummy!). of our universe… the dizzying speed with The Capitol Lounge is just a one mile walk which technology has advanced our power If you can’t get enough, don’t forget the museum’s Udvar-Hazy Center out by Dulles from the hotel, a stone’s throw from the for discovery? The National Air and Space Library of Congress, behind the Capitol. Museum never disappoints. Airport, where you can see a mind-boggling array of planes, capsules and the Enterprise space shuttle, or the Visitor Center at the Jeffrey S. Morris Take an easy 20 minute stroll from our 2011-2012 ENAR Secretary hotel – brief jogs up New Jersey Avenue, Goddard Space Flight Center in Greenbelt, Louisiana Avenue, and First Street to in MD. If you share my experience, the time Inexpensive Family Fun: front of the Capitol, and then an easy shot will have passed before you know it, and The National Zoo to Air and Space across the mall just past before getting nearly enough. DC by Foot Walking Tour the National Museum of the American In- Ben’s Chili Bowl dian (NMAI). If you’re coming around noon, Amy Herring If you are bringing children with you or are 2012 ENAR Past President just an animal lover yourself, you might

INTERESTING AND FUN THINGS TO DO IN THE NATION’S CAPITAL THE NATION’S TO DO IN THINGS AND FUN INTERESTING stop inside NMAI for the best lunch on the Mall: First Nations fare at the Mitsisam Café. International Spy Museum enjoy the Smithsonian’s National Zoo that Do you want to “Get Smart” at ENAR? is right in the city. The zoo has many exotic As you walk inside Air and Space, soak in Would you like to see an iconic lipstick animals, and is especially known for its the array of balloons, gliders, prop planes, or umbrella pistol even though you lack a giant pandas that are the Asia Trail. The jets, and rockets roundabout and above “License to Kill”? Then put on your shoe park is open from 10am to 6pm daily, and you. If you’re a history buff, be sure to seek phone and walk 0.8 mile to admission is free!!! It is located at 3001 out the Wright Flyer (and the very cool the International Spy Museum Connecticut Avenue, and is easily acces- simulation of its Kitty Hawk flights), Lind- (www.spymuseum.org). The sible by Metro (BTW, Metro is by far the bergh’s Spirit of St. Louis, Sputnik 1, the vast array of gadgets on display makes easiest way to get around Washington, DC, Mercury 7, Gemini 4 and Apollo 11 cap- this museum, which tells the story of an and day passes allowing unlimited riding sules and more – all these the actual craft. all-but-invisible profession, a treat not to are only $8.30). The best Metro stop to For science lovers there are the Einstein be missed. Because “You Only Live Twice,” take is the Cleveland Park stop from which Planetarium and galleries on our explora- allow plenty of time for the exhibits, fill you walk downhill to the zoo, which is better ENAR RECOMMENDS tion of the solar system and cosmos. Tech up your money belt before you go ($18 than the “Zoo” stop which requires you to types will marvel at the leaps by which the admission), and dress appropriately for walk uphill. If this is the first time in DC for biplane evolved from the Wright flyer and crawling through the air conditioning ducts either you or your children, you could see the jet from the biplane; the ballistic missile (optional but fun!). Note that all exhibits are the major sites in the National Mall with DC from Robert Goddard’s model-rocket and “For Your Eyes Only” as photography is by Foot, which gives free walking tours that the Saturn V from the ballistics. When a strictly NOT allowed! are kid-friendly and includes games, trivia foot rest is needed, the museum’s IMAX questions, and fun facts (gratuity is recom- features provide a great respite. Best of mended). It is the highest rated walking tour

7 Preliminary Program in DC. You can find details of the times and Zydeco, salsa, tango, and more. Most of (3) Bistro Bis places of tours on the website (dcbyfoot. the dances feature a pre-dance introduc- 15 E Street NW, DC com) closer to the date. BTW, they also tory lesson and dancing to live music from 202-661-2700 have other tours including a Lincoln renowned local and national bands. Fall in just around the corner from the hotel. Assassination tour, which currently takes love at Glen Echo Park (my wife and I did, place every Saturday evening at 7 pm and New Year’s Eve 1995). (4) Zed’s every Wednesday at 7 pm in the summer. 1201 28th Street NW, Georgetown For an inexpensive but incredible lunch or Debashis Ghosh 202-333-4710 snack, I recommend getting the famous 2012 ENAR Program Chair If you are in the mood for Ethiopian food, then you can’t go wrong with chili half-smoke at Ben’s Chili Bowl. This Washington Restaurant Scene includes ¼ lb. of pork and Zed’s. It serves savory Ethiopian dishes Washington D.C. has an absolutely first-rate (both vegetarian and non-vegetarian) on beef smoked sausage restaurant scene with an incredibly diverse on a steamed bun with injera (traditional Ethopian bread with a food culture. Just hop on the D.C. Metro at spongy texture). mustard, onions, and their the Union Station stop (the nearest one to famous homemade chili the Capitol City Regency Hyatt), and you (5) Woodley Park-Zoo and Adams sauce. It only costs $5.45 will get to almost anywhere. Here are a few Morgan Metro Stop Areas and has been voted Washington’s signature of my favorite places to eat. (On the red line, as is the Union Station dish. They also have chili, hot dogs, ham- stop) boasts a variety of restaurants, burgers, etc., so if you have your kids with (1) Bodega ranging from Greek to Middle Eastern to you they should find something they like. 3116 M Street NW, DC Indian, that are quite tasty and affordable. Ben’s is located on 1213 U Street, NW, 202-333-4733 across from the 13th street entrance of the This is a Spanish restaurant that Kathy Hoskins U street Metrorail station on the Green Line. specializes in tapas (Wikipedia defines ENAR Executive Director tapas as ``small savory Spanish dishes”; Hormuzd Katki I would recommend the sangria and Union Station – Not Just a Train Station! 2010–2011 Former RAB Chair standard Spanish fare such as Bacalao Within walking distance from the Hyatt Regency Washington on Capitol Hill, Union Theodore Roosevelt Island a la Bilbaína con Lentejas de León (Sauteed cod fillet) and paella. Station is one of the most visited destina- National Monument tions in the nation’s capital. Washington’s Theodore Roosevelt Island is one of the (2) Vidalia train station is also a premier shopping natural treasures of the DC area. The island 1990 M Street NW, DC mall and serves as a venue for world-class honors the president who founded the 202-659-1990 exhibitions and international cultural events. National Park System with a statue and Vidalia features American cuisine with monument with some of his best quotes. Southern stylings. It has standards such Union Station features more than 100 Situated on the Potomac River, it affords a as New York Strip Steak and tuna steak, specialty shops selling a variety of items from scenic view of Georgetown and the Ken- but with neat variations and sides. Plus, jewelry and apparel to gifts and boutique nedy Center. A path and boardwalk rings the desserts are really good, such as items. There are more than 35 establishments offering international cuisine and six full service the small island (1 mile in circumference), the apple tart! If you don’t want to trek restaurants: America, B. Smith’s, Center Cafe, allowing one to see all kinds of wildlife on over there, its sister restaurant, unexpected for Washington DC, including East Street Cafe, Pizzeria Uno, The Station Grill and Thunder Grill. migratory birds. The Food Court at Union Station is a great Glen Echo Park place to enjoy a snack or take the family for INTERESTING AND FUN THINGS TO DO IN THE NATION’S CAPITAL THE NATION’S TO DO IN THINGS AND FUN ENAR RECOMMENDS INTERESTING Glen Echo Park is a magical place situated a quick and inexpensive meal. Union Station on the Potomac palisades near Bethesda, also offers a multitude of services including Maryland. Originally a Chautauqua retreat, shoe repair, a pharmacy, car rental services, then an amusement park, this National florist, 24-hour automatic teller machines, Park now presents vibrant arts and cultural photo processing, gourmet delicatessen, and programs. Take a class in pottery, painting, foreign currency exchange. photography, art glass, music, silversmith- ing, or textiles. Enjoy a puppet show or Union Station also offers plenty of sightseeing theater performance with your kids and ride tours options including the Gray Line, Old Town Trolley, DC Ducks, and Tourmobile. the historic Dentzel carousel. At night, the Spanish Ballroom opens up and features dancing: swing, contra, blues, waltz, Cajun,

8 ENAR 2012 SPRING MEETING APRIL 1–4

Saturday, March 31

9:00 am – 9:00 pm Workshop for Junior Researchers

3:30 pm – 5:30 pm Conference Registration

Sunday, April 1

7:30 am – 6:30 pm Conference Registration

8:00 am – 12:00 pm Short Courses SC4: Statistical Methods for Next Generation Sequencing

PROGRAM SUMMARY SC6: Current Methods for Evaluating Prediction Performance of Biomarkers and Tests

8:00 am – 5:00 pm Short Courses SC1: Bayesian Adaptive Methods for Clinical Trials SC2: Regression Modeling Strategies SC3: Sensitivity Analysis with Missing Data: Statistical Methods and Case Studies

12:30 am – 5:30 pm Diversity Workshop

1:00 pm – 5:00 pm Short Courses SC5: Latent Variable Models for Networks and Relational Data SC7: The Statistical Impact on Biopharmaceutical Drug Development of the ICH Efficacy Guidelines

3:00 pm – 5:00 pm Exhibits Open

4:30 pm – 7:30 pm ENAR Executive Committee

4:00 pm – 7:30 pm Placement Service

8:00 pm – 11:00 pm Social Mixer and Poster Session 1. Posters: Bayesian Methods 2. Posters: Survival Analysis 3. Posters: Statistical Genetics / Genomics 4. Posters: Clinical Trials / Biopharmaceuticals / Medical Devices 5. Posters: Computationally Intensive Methods / High Dimensional Data 6. Posters: Environmental, Epidemiological, Health Services and Observational Studies 7. Posters: Correlated and Longitudinal Data 8. Posters: Multivariate, Non-Parametric and Semi-Parametric Models 9. Posters: Modeling, Prediction, Diagnostic Testing, Variable Selection and Consulting

10 ENAR 2012 SPRING MEETING APRIL 1–4 Monday, April 2

7:30 am – 5:00 pm Conference Registration

7:30 am – 5:00 pm Speaker Ready Room

8:30 am – 5:30 pm Exhibits Open

8:30 am – 10:15 am Tutorial T1: Methods for Reproducible Research in R

8:30 am – 10:15 am Scientific Program 10. Statistical Genomics in Sequencing Era, from Data Analysis to Personal Medicine

PROGRAM SUMMARY 11. Variable Selection for Complex Models 12. Optimal and Personalized Treatment of HIV 13. Statistical Methods for Hospital Comparisons 14. Statistical Evaluation of Diagnostic Performance Using ROC Analysis 15. Statistical Applications in Food Safety 16. Topic Contributed Papers: Synthetic Health Data for Confidentiality Control 17. Topic Contributed Papers: Statistical Issues Arising from Alternatives to Double-Masked Randomized Controlled Trials 18. Contributed Papers: Statistical Genetics 19. Contributed Papers: Spatial/Temporal Modeling 20. Contributed Papers: Non-Linear, PK-PD, and Dose-Response Models 21. Contributed Papers: Longitudinal Data

9:30 am – 5:00 pm Placement Service

10:15 am – 10:30 am Refreshment Break and Visit Our Exhibitors

10:30 am – 12:15 am Tutorial T2: Object Oriented Data Analysis

10:30 am – 12:15 pm Scientific Program 22. Correlated High-Dimensional Data 23. Current Developments in Bayesian Clinical Trials 24. Causal Inference and Measurement Error 25. Two-Phase Estimation 26. Semi-Competing Risks 27. Graduate Student and Recent Graduate Council Invited Session: Careers in Biostatistics 28. Topic Contributed Papers: Statistical Challenges of Spatial Multi-Pollutant Data in Environmental Epidemiology 29. Topic Contributed Papers: Sample Size Adjustments for Clinical Trials with Multiple Comparisons 30. Contributed Papers: Adaptive Design/Adaptive Randomization 31. Contributed Papers: Biomarkers I 32. Contributed Papers: Causal Inference 33. Contributed Papers: Epidemiologic Methods

12:15 pm – 1:30 pm Roundtable Luncheons

11 Preliminary Program 1:30 pm – 4:30 pm Regional Advisory Board (RAB) Meeting

1:45 pm – 3:30 pm Tutorial T3: Comparative Effectiveness Research: Opportunities and Challenges

1:45 pm – 3:30 pm Scientific Program 34. Recent Advances on High-Dimensional Medical Data Analysis 35. Bayesian Approaches with Applications to Genomics 36. New Trends in Statistical Analysis of Biological Networks 37. Mathematical Modeling of Disease 38. High Dimensional Multi-Drug Combinations: From Preclinical Models to Clinical Trials 39. Group Testing Methodology: Recent Developments PROGRAM SUMMARY and Applications to Infectious Disease 40. Topic Contributed Papers: Novel Developments in Statistical Blind Source Separation and Independent Components Analysis 41. Topic Contributed Papers: Causal Inference and Survival Analysis 42. Contributed Papers: Clinical Trials 43. Contributed Papers: Competing Risks 44. Contributed Papers: Functional Data Analysis 45. Contributed Papers: Genome Wide Association Studies

3:30 pm – 3:45 pm Refreshment Break and Visit Our Exhibitors

3:45 pm – 5:30 pm Tutorial T4: Towards High-Performance Computing with R

3:45 pm – 5:30 pm Scientific Program 46. Statistical Models for Omics Data 47. Tweedie Award 48. Recent Development in Optimal Treatment Strategies – Estimation, Selection and Inference 49. Challenging Issues in Functional Connectivity Analysis 50. Recent Advances in Clinical Trial Design: Utilities and Pitfalls 51. Recent Advances in Methodology for the Analysis of Failure Time Data 52. Topic Contributed Papers: New Methods and Theory in Functional/Longitudinal Data Analysis 53. Topic Contributed Papers: Multivariate Methods in High Dimensional Data 54. Contributed Papers: Bayes and other Approaches to Variable and Model Selection 55. Contributed Papers: Clustered / Repeated Measures Survival Analysis 56. Contributed Papers: Genomics 57. Contributed Papers: Health Services / Health Policy

6:00 pm – 7:30 pm President’s Reception

12 ENAR 2012 SPRING MEETING APRIL 1–4 Tuesday, April 3

7:30 am – 5:00 pm Conference Registration

7:30 am – 5:00 pm Speaker Ready Room

9:00 am – 3:30 pm Placement Service

8:30 am – 5:30 pm Exhibits Open

8:30 am – 10:15 am Tutorial T5: Slippery Slopes: A Practical Introduction to Spatially Varying Slopes in Regression Models

PROGRAM SUMMARY 8:30 am – 10:15 am Scientific Program 58. Towards Omics-Based Predictors for Patient Management 59. Functional Data Analysis 60. The Analysis of Social Network Data in Public Health 61. Novel Methodological Issues in Analyzing and Designing Longitudinal Biomarker Studies 62. Advances in Cancer Risk Prediction Models 63. Adaptive Design in Vaccine Trials 64. Topic Contributed Papers: Mixing: Inferences using Frequentist and Bayesian Methods and for Mixed Discrete and Continuous Data 65. Contributed Papers: Bayesian Methods for Longitudinal and/or Survival Data 66. Contributed Papers: Complex Study Designs and Bias Corrections 67. Contributed Papers: High Dimensional Data 68. Contributed Papers: High Dimensional Data: Machine Learning, Multivariate Methods and Computational Methods 69. Contributed Papers: Variable and Model Selection Methods

10:15 am – 10:30 am Refreshment Break and Visit Our Exhibitors

10:30 am – 12:15 pm 70. Presidential Invited Address and Student Paper Awards

12:30 pm – 4:30 pm Regional Committee Meeting

1:45 pm – 3:15 pm Tutorial T6: Introduction to MATLAB for Statisticians

1:45 pm – 3:30 pm Scientific Program 71. Recent Advances in Statistical Methods for Diagnostic Medicine 72. JABES Special Session on Climate Change 73. Grant Funding Opportunities for Biostatisticians 74. Causal Mediation analysis: Definitions, Identification, Inference and Controversies 75. Advances in Brain Imaging and Signal Biomarkers for Behavior 76. Recent Development in Imputation Methods and Their Applications 77. Topic Contributed Papers: Joint Modeling and Its Applications 78. Contributed Papers: Bayesian Methods I 79. Contributed Papers: Correlated / Longitudinal Data 80. Contributed Papers: Imaging

13 Preliminary Program 81. Contributed Papers: Longitudinal and Time Series Data Analysis 82. Contributed Papers: Survival Analysis and Risk Prediction

3:30 pm – 3:45 pm Refreshment Break and Visit Our Exhibitors

3:45 pm – 5:30 pm Scientific Program 83. Statistical Methods and Applications in Rare Variant Sequencing Studies 84. Causal Inference Methods for HIV Research 85. Modern Statistical Machine Learning for Complex and High Dimensional Data 86. Statistical Challenges in Reproductive and Environmental Epidemiology 87. Combining Population Data from Multiple Sources PROGRAM SUMMARY 88. Spatial Uncertainty in Public Health Problems 89. Topic Contributed Papers: New Statistical Tools for High Dimensional Problems 90. Contributed Papers: Bayesian Methods II 91. Contributed Papers: Diagnostic and Screening Tests 92. Contributed Papers: Meta-Analysis 93. Contributed Papers: Missing Data I 94. Contributed Papers: Semiparametric and Nonparametric Methods for Survival Analysis

5:30 pm – 6:00 pm ENAR Business Meeting

6:30 pm – 10:30 pm Tuesday Night Event

14 ENAR 2012 SPRING MEETING APRIL 1–4 Wednesday, April 4

7:30 am – 12:00 noon Speaker Ready Room

7:30 am – 9:00 am Planning Committee Meeting

8:00 am – 12:30 pm Conference Registration

8:00 am – 12:00 pm Exhibits Open

8:30 am – 10:15 am Scientific Program 95. New Statistical Challenges in Functional Data Analysis 96. Estimation of Covariance Matrices with Applications to Longitudinal Data and Graphical Models

PROGRAM SUMMARY 97. Analyses of Incomplete Longitudinal Data: How Robust are the Results? 98. Statistics in Mental Health Research: A Prelude to a Proposed New ASA Section 99. High-Impact Statistical Methods and the Fight Against HIV in the Developing World 100. Memorial Session for Tom Ten Have 101. Topic Contributed Papers: Advanced Statistical Modeling for Complex Omics Data 102. Contributed Papers: Biomarkers II 103. Contributed Papers: Dynamic Treatment Regimens 104. Contributed Papers: Missing Data II 105. Contributed Papers: Multiple Testing 106. Contributed Papers: Power / Sample Size Calculations

10:15 am – 10:30 am Refreshment Break and Visit Our Exhibits

10:30 am – 12:15 pm Scientific Program 107. Imaging, Omics and High-Dimensionality 108. Statistical Methods for Modeling SEER Population-based Cancer Data 109. Powerful Statistical Models and Methods in Next Generation Sequencing 110. Recent Developments in Subgroup Analysis in Randomized Clinical Trials 111. Individualized Risk Prediction using Joint Models of Longitudinal and Survival Data 112. Recent Advances in Dynamic Treatment Regimes Research 113. Topic Contributed Papers: A Review of Established and New Methods of Multiple Imputation of Missing Data with the Emphasis on Available Software Packages 114. Contributed Papers: Accelerated Failure Time Models 115. Contributed Papers: Environmental and Ecological Applications 116. Contributed Papers: Next Generation Sequencing 117. Contributed Papers: Nonparametric Methods 118. Contributed Papers: Semi-Parametric and Non- Parametric Models

15 Preliminary Program 16 ENAR 2012 SPRING MEETING APRIL 1–4 Sunday, April 1 1h. Implementation of Continuous Bayesian Interim Monitoring for Single Arm Phase II Trials with the Oncore System Stacey Slone*, Emily Van Meter and Dennie Jones, 8:00 pm – 11:00 pm | Poster Presentations Markey Cancer Center, University of Kentucky 1i. Joint Modeling of Time-to-event and Tumor Size Weichao Bao* and Bo Cai, University of South Carolina 1. POSTERS: Bayesian Methods 1j. Bayesian Order Restricted Inference of Measurement Agreement with an Application to the Physician Sponsor: ENAR Reliability Study Zhen Chen*, Eunice Kennedy Shriver National Institute of Child 1a. Bayesian Modeling of ChIP-Seq Data for Detecting Health and Human Development, National Institutes of Health Chromatin Regions Attached to the Nuclear Envelope Based on Lamin B1 1k. Quantal Responses of the Weibull Risk Function Sabrina Herrmann and Holger Schwender*, TU Dortmund Douglas Moore*, University of North Carolina at Wilmington University Dortmund, Germany; Shoudan Liang, Yue Lu and SCIENTIFIC PROGRAM Marcos Estecio, University of Texas MD Anderson Cancer Center; Katja Ickstadt, TU Dortmund University, Dortmund, 1l. Bayesian Effect Estimation Accounting for Adjustment Germany and Peter Mueller, University of Texas at Austin Uncertainty Chi Wang*, University of Kentucky; Giovanni Parmigiani, Dana-Farber Cancer Institute and Harvard School of 1b. Bayesian Learning in Joint Models for Longitudinal Public Health and Francesca Dominici, Harvard School and Survival Data of Public Health Laura A. Hatfield*, Harvard Medical School; James S. Hodges and Bradley P. Carlin, University of Minnesota 1m. Bayesian Semiparametric Regression Models for Semicompeting Risks Data 1c. Bayesian Semiparametric Regression Analysis Kyu Ha Lee*, Sebastien Haneuse and Francesca Dominici, of Bivariate Current Status Data Harvard School of Public Health Naichen Wang* and Lianming Wang, University of South Carolina 1n. Bayesian Restricted Contour Estimation Method for X-inactivation Ratio from Pyro-Sequencing Data 1d. A Phase I Trial Design for Incorporating Efficacy Alan B. Lenarcic*, John Calaway, Fernando de Pardo and Outcomes that are Conditional Upon Absence of William Valdar, University of North Carolina at Chapel Hill Dose-Limiting Toxicities Thomas M. Braun, Shan Kang* and Jeremy M G Taylor, University of Michigan 1o. Multiple Imputation of Latent Counts from Heaped Self- Reported Measurements of Daily Cigarette Consumption Sandra D. Griffith*, University of Pennsylvania; Saul Shiffman, 1e. An Empirical Bayes Hierarchical Model for Inference University of Pittsburgh and Daniel F. Heitjan, University of in Time-course RNA-seq Experiments Pennsylvania Ning Leng*, University of Wisconsin-Madison; Victor Ruotti, Ron M. Stewart and James A. Thomson, Morgridge Institute for Research and Christina Kendziorski, University of 1p. Bayesian Graphical Models in Epigenetic Applications Wisconsin-Madison Riten Mitra*, University of Texas, MD Anderson Cancer Center; Peter Mueller, University of Texas at Austin and Yuan Ji, University of Texas, MD Anderson Cancer Center 1f. Bayesian Indirect and Mixed Treatment Comparisons across Longitudinal Time Points 1q. Bayesian Nonparametric Estimation of Finite Ying Ding* and Haoda Fu, Eli Lilly and Company Population Quantities in Absence of Design Information on Nonsampled Units 1g. Sample Size Estimation for Joint Modeling of Sahar Zangeneh*, Robert W. Keener and Roderick J.A. Little, Efficacy and Safety University of Michigan Brandi Falley* and James Stamey, Baylor University

17 Preliminary Program n = Student Award Winner | * = Presenter 2. POSTERS: 2j. Parameter Estimation in Cox Proportional Hazard Models Survival Analysis with Missing Censoring Indicators Sponsor: ENAR Naomi C. Brownstein*, Eric Bair, Jianwen Cai and Gary Slade, University of North Carolina at Chapel Hill 2a. Commonality Analysis for Survival Data, with an 2k. Challenges from Competing Risks and Recurrent Application to Data from Breast Cancer Patients Events in Cardiovascular Device Trials: A Regulatory with Newly Diagnosed Brain Metastases Reviewer’s Perspective Binglin Yue*, Moffitt Cancer Center; Xianghua Luo, Haitao Chu Yu Zhao*, Center for Devices and Radiological Health, U.S. and Paul Sperduto, University of Minnesota Food and Drug Administration

2b. An AIPCW Estimator of the Cumulative Incidence Function 2l. Bayesian Semiparametric Model for Spatial Interval- Under Multiple Competing Censoring Mechanisms Censored Failure Time Data Brian Sharkey*, Michael Hughes and Judith Lok, Chun Pan*, Bo Cai, Lianming Wang and Xiaoyan Lin, University Harvard University of South Carolina

SCIENTIFIC PROGRAM 2c. Incorporating Sampling Plan and Competing Risks in Analysis 2m. Analysis of Variance for Right Censored Survival Data of Prospective Pregnancy Studies Chetachi A. Emeremni*, University of Pittsburgh Kirsten J. Lum*, Johns Hopkins Bloomberg School of Public Health; Rajeshwari Sundaram, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of 2n. Sample Size and Power Calculation for Proportional Health and Thomas A. Louis, Johns Hopkins Bloomberg School of Hazards Model with Time-dependent Variables Public Health Songfeng Wang* and Jiajia Zhang, University of South Carolina and Wenbin Lu, North Carolina State University 2d. Estimation of Cox Proportional Hazards Models for Two Negatively Correlated Processes Wenjing Xu*, Qing Pan and Joseph L. Gastwirth, George 3. POSTERS: Washington University Statistical Genetics/Genomics Sponsor: ENAR 2e. Recursive Partitioning Based Weights for Censored Quantile Regression 3a. Simultaneous Functional Category Analysis Andrew Wey*, Lan Wang and Kyle D. Rudser, University Qiuling He* and Michael A. Newton, University of of Minnesota Wisconsin-Madison

2f. Development and Evaluation of Multimarker Panels for 3b. Combining Linkage Analysis and Next Clinical Prognosis Generation Sequencing to Identify Rare Causal Benjamin French*, University of Pennsylvania; Paramita Saha Variants in Complex Diseases Chaudhuri, Duke University; Bonnie Ky and Thomas P. Cappola, Silke Szymczak*, Qing Li and Claire L. Simpson, National University of Pennsylvania and Patrick J. Heagerty, University Human Genome Research Institute, National Institutes of Health; of Washington Robert Wojciechowski, Johns Hopkins Bloomberg School of Public Health; Xilin Zhao, National Institute of Diabetes, 2g. Generalized Odds-Rate Hazard Models for Interval- Digestive, and Kidney Diseases, National Institutes of Health; Censored Failure Time Data Mary Pat S. Jones, National Human Genome Research Bin Zhang*, University of Alabama-Birmingham and Institute, National Institutes of Health; Richa Agarwala and Lianming Wang, University of South Carolina Alejandro A. Schaeffer, National Center for Biotechnology Information, National Institutes of Health; Stephen A. Wank, 2h. A Semi-Parametric Joint Model for Semi-competing Risk Data National Institute of Diabetes, Digestive, and Kidney Diseases, Renke Zhou* and Jing Ning, University of Texas, MD Anderson National Institutes of Health and Joan E. Bailey-Wilson, National Cancer Center and Melissa Bondy, Baylor College of Medicine Human Genome Research Institute, National Institutes of Health

2i. Informative Age Reduction Model for Recurrent Event Li Li* and Timothy Hanson, University of South Carolina

18 ENAR 2012 SPRING MEETING APRIL 1–4 3c. Using Growth Mixture Modeling to Identify Loci Associated 3n. Multilayer Correlation Structure of Microarray Gene with the Progression of Disease Expression Data Tong Shen*, Duke University Linlin Chen*, Rochester Institute of Technology; Lev Klebnov, Charles University and Anthony Almudevar, 3d. Data Preprocessing: Quantification and Normalization University of Rochester of the Luminex Assay System Eileen Liao* and David Elashoff, University of California at 3o. Statistical Methods for Identifying Batch Effects in Los Angeles Copy Number Data Sarah E. Reese*, Virginia Commonwealth University; 3e. Borrowing Information across Genes and Experiments Zerry M. Therneau and Ellizabeth J. Atkinson, Mayo Clinic; for Improved Residual Variance Estimation in Microarray Kellie J. Archer, Virginia Commonwealth University and Data Analysis Jeanette E. Eckel-Passow, Mayo Clinic Tieming Ji*, Peng Liu and Dan Nettleton, Iowa State University 3p. Distribution of Allele Frequencies and Effect Sizes 3f. Joint Modeling of Disease and Endophenotype to and Their Interrelationships for Common Genetic Characterize the Effect of Genes and their Interactions SCIENTIFIC PROGRAM Susceptibility Variants Alexandre Bureau*, Jordie Croteau and Molière Nguilé Ju-Hyun Park* and Mitchell H. Gail, National Cancer Institute, Makao, Université Laval - Robert-Giffard, Université Laval, National Institutes of Health; Clarice R. Weinberg, National Québec, Canada Institute of Environmental Health Sciences, National Institutes of Health; Raymond J. Carroll, Texas A&M University; 3g. Epistasis Enriched Network and Risk Score Modeling Charles C. Chung, Zhaoming Wang, Stephen J. Chanock, of Continuous Multifactor Dimensionality Reduction Joseph F. Fraumeni and Nilanjan Chatterjee, National Cancer Hongying Dai*, Children’s Mercy Hospital; Richard Charnigo, Institute, National Institutes of Health Mara Becker and Steve Leeder, University of Kentucky 3q. Selecting a Statistical Test to Detect Associations 3h. Joint Analysis of SNP and Gene Expression Data in with Groups of Genetic Variants: A User’s Guide Genome-Wide Association Studies John Ferguson and Hongyu Zhao, Yale University; Yen-Tsung Huang*, Xihong Lin and Tyler VanderWeele, William Wheeler, IMS; Yi-Ping Fu, Ludmila Prokunina-Olsson Harvard University and Joshua N. Sampson*, National Cancer Institute, National Institutes of Health 3i. A Robust Test for Detecting Differentially Methylated Regions 3r. A New Penalized Regression Approach to Testing Hongyan Xu* and Varghese George, Georgia Health Quantitative Trait-Rare Variant Association Sciences University Sunkyung Kim*, Wei Pan and Xiaotong Shen, University of Minnesota 3j. Testing for Gene-Environment and Gene-Gene Interactions Under Monotonicity Constraints 3s. Incorporating Heterogeneity into Meta-Analysis of Genomic Summer S. Han*, Philip S. Rosenberg and Nilanjan Chatterjee, Data: A Weighted Hypothesis Testing Approach National Cancer Institute, National Institutes of Health Yihan Li* and Debashis Ghosh, Pennsylvania State University

3k. Bayesian Gene Set Test, the Proportion of Significant 3t. Modeling Haplotype Effects in a Genetic Reference Genes in the Set as the Summary Statistic Population: A Bayesian Collaborative Cross Toolkit Di Wu*, Ke Deng, Ming Hu and Jun Liu, Harvard University Zhaojun Zhang*, Wei Wang and William Valdar, University of North Carolina at Chapel Hill 3l. Adjustment for Population Stratification via Principal Components in Association Analysis of Rare Variants 3u. Integrated Analysis of miRNA-mRNA Expression Profiles Yiwei Zhang*, Weihua Guan and Wei Pan, University using Canonical Correlation Analysis of Minnesota Guy Brock*, Partha Mukhopadhyay, Robert Greene and Michele Pisano, University of Louisville 3m. Reprioritizing Genetic Associations in Hit Regions using LASSO-based Resample Model Averaging 3v. Multi-Marker Association Analysis with Multiple William Valdar, Jeremy Sabourin*, Andrew Nobel, University Phenotypes in Families of North Carolina at Chapel Hill and Chris Holmes, University Yiwei Zhang* and Saonli Basu, University of Minnesota of Oxford, United Kingdom

19 Preliminary Program n = Student Award Winner | * = Presenter 3w. Multi-Stage Sequence/Imputation Design 4d. Dose Finding Designs for Modeling Immunotherapy Thomas J. Hoffmann* and John S. Witte, University of California Outcomes: A Practical Approach in a Metastatic San Francisco Melanoma Phase I Trial Cody C. Chiuzan* and Elizabeth Garrett-Mayer, Medical 3x. An Application of the Proportional Odds Model to Genetic University of South Carolina Association Studies Kai Wang*, University of Iowa 4e. Elliptical Likelihood Ratio Test for Homogeneity of Ordered Means 3y. An Empirical Evaluation of Array Normalization for Agilent Xiao Zhang* and Michael P. McDermott, University of Rochester microRNA Expression Arrays Li-Xuan Qin*, Qin Zhou, Jaya Satagopan and Samuel Singer, 4f. Analysis of Multiple Non-Commensurate Outcomes Memorial Sloan-Kettering Cancer Center in Psychiatry Frank B. Yoon*, Mathematica Policy Research, Inc.; 3z. Association Analysis of Rare Variants with Incomplete Garrett M. Fitzmaurice, Harvard School of Public Health; Genetics Data Stuart R. Lipsitz, Harvard Medical School; Nicholas J. Horton, Smith College and Sharon-Lise T. Normand, Harvard

SCIENTIFIC PROGRAM Yijuan Hu*, Emory University and Danyu Lin, University of North Carolina at Chapel Hill Medical School

3aa. A Weighted Average Likelihood Ratio Test with 4g. Evaluation for Time to Onset of Drug Action Application to RNA-seq Data Ziwen Wei*, University of Connecticut, Luyan Dai Yaqing Si* and Peng Liu, Iowa State University and Naitee Ting, Boehringer Ingelheim

3ab. Order Statistic for Robust Genomic Meta-analysis 4h. Meta-Analysis of One Outcome from Group Sequential Trials with Composite Outcomes: Chi Song* and George C. Tseng, University of Pittsburgh Are Standard Methods Appropriate? Abigail B. Shoben*, The Ohio State University 3ac. Asymptotic Properties and Convergence Rate in Solving Models of Linkage Disequilibrium Mapping 4i. Statistical Analysis of Evaluating the Clinical Utility Jiangtao Luo*, University of Nebraska Medical Center of Quantitative Real-Time Loop-Mediated Isothermal Amplification for Diagnosis of Lower Respiratory Tract Infections 4. POSTERS: Peng Zhang*, Peichao Peng, Yu Kang and Minping Qian, Clinical Trials/Biopharmaceuticals/ Peking University Medical Devices Sponsor: ENAR 4j. Monotonicity Assumptions for Exact Unconditional Tests in Binary Matched-Pairs Designs 4a. A Phase II Factorial Design for Combination Codevelopment Xiaochun Li*, Mengling Liu and Judith D. Goldberg, in Oncology based on Probability of Correct Selection New York University Xinyu Tang*, University of Arkansas for Medical Sciences and William Mietlowski, Novartis Oncology 4k. A Phase I/II Clinical Trial for Drug Combinations Beibei Guo* and Yisheng Li, University of Texas MD Anderson 4b. Bayesian Application for a Clinical Trial with Cancer Center Correlated Continuous and Binary Outcomes Ross Bray*, John W Seaman Jr. and James Stamey, 4l. Overview of Statistical Issues in the Analysis of Continuous Baylor University Glucose Monitoring Chava Zibman*, U.S. Food and Drug Administration 4c. Scaled Biosimilarity Margins for Higher Variable Biologic Products 4m. Biological Optimum Dose Finding for Novel Targeted Nan Zhang and Jun Yang*, Amgen, Inc.; Shein-Chung Chow, Agents Duke University; Eric Chi, Amgen, Inc. and Laszlo Endrenyi, Hao Liu*, Baylor College of Medicine University of Toronto 4n. Hierarchical Bayesian Methods for Combining Efficacy and Safety in Multiple Treatment Comparisons Hwanhee Hong* and Bradley P. Carlin, University of Minnesota

20 ENAR 2012 SPRING MEETING APRIL 1–4 5. POSTERS: 5j. A General Theory of Sufficient Dimension Reduction: Computationally Intensive Formulation and Estimation Methods / High Dimensional Data Kuang-Yao Lee*, Bing Li and Francesca Chiaromonte, Pennsylvania State University Sponsor: ENAR

5a. Global Hypothesis Testing for High Dimensional Repeated 5k. Optimal Multi-Stage Single-arm Phase II Design Based Measures Outcomes on Simulated Annealing Yueh-Yun Chi*, University of Florida; Matthew Gribbin, Nan Chen* and J. Jack Lee, University of Texas MD Anderson Human Genome Sciences; Lamers Yvonne, University Cancer Center of British Columbia; Jesse F. Gregory and Keith E. Muller, University of Florida 5l. SubLIME: Subtraction-based Logistic Inference for Modeling and Estimation 5b. An Example of using Sweave to Create and Maintain Elizabeth M. Sweeney* and Russell T. Shinohara, Johns Hopkins a Large, Dynamic Statistical Report: Prevalence and University and National Institute of Neurological Disorders and Effects of Potentially Distracting Non-care Activities Stroke, National Institutes of Health; Colin D. Shea, National

SCIENTIFIC PROGRAM during Anesthesia Care Institute of Neurological Disorders and Stroke, National Institutes David Afshartous, Steve Ampah*, Samuel K. Nwosu, of Health; Daniel S. Reich, Johns Hopkins University and National Jason Slage and Eric Porterfield, Vanderbilt University Institute of Neurological Disorders and Stroke, National Institutes of Health and Ciprian M. Crainiceanu, Johns Hopkins University 5c. Iteratively Reweighted Poisson Regression for Fitting Generalized Linear Model with Multiple Responses Yiwen Zhang* and Hua Zhou, North Carolina State University 5m. Comparing Independent Component Analysis Estimation Methods with an Application to Neuroimaging of Resting State Functional Connectivity in Attention Deficit and 5d. Joint Estimation of Multiple Precision Matrices Hyperactivity Disorder T. Tony Cai and Hongzhe Li, University of Pennsylvania; Benjamin B. Risk*, David S. Matteson and David Ruppert, Weidong Liu, Shanghai Jiao Tong University and Jichun Xie*, Cornell University Temple University 5n. Variable Section Methods in Linear Models with 5e. How to Bootstrap fMRI Data? Growing Dimension Sanne Roels*, Tom Loeys and Beatrijs Moerkerke, June Luo*, Clemson University Ghent University, Belgium 5o. Family-based Association Studies for Next-generation 5f. The Hosmer-Lemeshow Goodness of Fit Test: Sequencing Does the Grouping Really Matter? Yun Zhu* and Momiao Xiong, University of Texas, Health Science Hillary M. Rivera*, Zoran Bursac and D. Keith Williams, Center at Houston University of Arkansas for Medical Sciences 5p. Case-based Reasoning in Comparative Effectiveness 5g. A Bayesian Non-Parametric Potts Model with Research fMRI Application Marianthi Markatou* and T. J. Watson Research Center, Timothy D. Johnson and Zhuqing Liu*, University of Michigan IBM and Prabhani Kuruppumullage Don, The Pennsylvania and Thomas E. Nichols, University of Warwick State University

5h. Oracle Inequalities for the High-Dimensional Cox 5q. Regularization with Latent Factors for Model Selection Regression Model via Lasso in Multivariate Multiple Regression with Application to Shengchun Kong* and Bin Nan, University of Michigan eQTL Analysis Yan Zhou* and Peter X. K. Song, University of Michigan; 5i. Integrated Machine Learning Approach as a Tool Sijian Wang, University of Wisconsin and Ji Zhu, University of for Testing SNP-SNP Interactions Michigan Hui-Yi Lin*, H. Lee Moffitt Cancer Center & Research Institute 5r. Measurement Error Model in Shape Analysis Jiejun Du*, Ian Dryden and Xianzheng Huang, University of South Carolina

21 Preliminary Program n = Student Award Winner | * = Presenter 6. POSTERS: 6j. A Simulation Study of Estimators of Time-Varying Environmental, Epidemiological, Health Services, Treatment Effects on Cancer Recurrence with Time And Observational Studies Dependent Confounding Jincheng Shen*, University of Michigan; Edward H. Kennedy, Sponsor: ENAR VA Center for Clinical Management Research; Douglas E. Schaubel, Lu Wang and Jeremy M.G. Taylor, 6a. Publication Bias in Meta-Analysis University of Michigan Min Chen*, ExxonMobil Biomedical Sciences, Inc. 6k. Propensity Score Using Machine Learning 6b. Regression Models for Group Testing Data with Pool Yi-Fan Chen* and Lisa Weissfeld, University of Pittsburgh Dilution Effects Christopher S. McMahan* and Joshua M. Tebbs, University of 6l. Assessing the Effect of Organ Transplant on the South Carolina and Christopher R. Bilder, University of Nebraska Distribution of Residual Lifetime David M. Vock*, Anastasios A. Tsiatis and Marie Davidian, 6c. Principal Stratification Based on Latent Survival Classes North Carolina State University to Predict Treatment Outcomes for Localized Kidney Cancer SCIENTIFIC PROGRAM Brian L. Egleston*, Yu-Ning Wong and Robert G. Uzzo, Fox Chase 6m. Methods for Classifying Changes in Bacterial Cancer Center Prevalence over Time Raymond G. Hoffmann*, Ke Yan and Pippa Simpson, Medical 6d. Loss Functions for Identifying Regions with Minimum College of Wisconsin; Jessica Vandevalle and Sandra McLellan, or Maximum Rates University of Wisconsin – Milwaukee Ronald E. Gangnon*, University of Wisconsin-Madison 6n. Salivary Cortisol as a Predictor of Health Outcomes 6e. Time-to-event Analysis of Ambient Air Pollution and Brisa N. Sanchez*, Ana V. Diez-Roux and TE Raghunathan, Preterm Birth University of Michigan Howard H. Chang*, Emory University; Brian J. Reich, North Carolina State University and Marie Lynn Miranda, University 6o. Retracing Micro-Epidemics of Chagas Disease Using of Michigan Epicenter Regression Michael Levy, Dylan Small* and Joshua Plotkin, 6f. Dorfman Group Screening with Multiple Infections University of Pennsylvania Yanlei Peng*, Joshua M. Tebbs, University of South Carolina and Christopher R. Bilder, University of Nebraska-Lincoln 6p. Comparing Cancer Rates by Age-stratified Zero-inflated Poisson Model 6g. Applying General Risk Scores in Special Populations Xiaoqin Xiong*, Information Management Services, Inc. Cynthia S. Crowson*, Elizabeth J. Atkinson and and Binbing Yu, National Institute on Aging, National Terry M. Therneau, Mayo Clinic Institutes of Health

6h. Using Predictive Surfaces to Understand Disparities 6q. Use of the Continuous-time Markov Chain to Examine in Exposure to PM2.5 and Ozone in North Carolina the Natural History of Alzheimer’s Disease Simone Gray*, U.S. Environmental Protection Agency; Wenyaw Chan* and Julia Benoit, University of Texas, Health Sharon Edwards and Marie Lynn Miranda, University Science Center at Houston and Rachelle S. Doody, Baylor of Michigan College of Medicine

6i. Probabilistic Risk Assessment of Air Quality 6r. Process-based Bayesian Melding of Two-Zone Models Management Strategies for Ozone and Industrial Workplace Data Kristen M. Foley*, U.S. Environmental Protection Agency; Joao V.D. Monteiro*, Sudipto Banerjee and Gurumurthy Brian J. Reich, North Carolina State University and Ramachandran, University of Minnesota Sergey L. Napelenok, U.S. Environmental Protection Agency

22 ENAR 2012 SPRING MEETING APRIL 1–4 7. POSTERS: 7k. Modeling and Estimation of Repeated Ordinal Data Correlated and Longitudinal Data Using Gaussian Copula Sponsor: ENAR Raghavendra R. Kurada, Old Dominion University; Roy T. Sabo, Virginia Commonwealth University and N. Rao Chaganty*, Old Dominion University 7a. Multilevel Joint Analysis of Longitudinal and Binary Outcome Seo Yeon Hong* and Lisa A. Weissfeld, University of Pittsburgh 7l. Simulation Study of the Convergence Properties of Log Gaussian Cox Process Posteriors Timothy D. Johnson and Ming Teng*, University of Michigan and 7b. Space-time Heterogeneities in One-dimensional Point Jian Kang, Emory University Process Data: Modeling Sea Turtle Nesting Patterns via Log-Gaussian Cox Processes 7m. Sensitivity of a Longitudinal Analysis to Missing Data Ming Wang*, Jian Kang and Lance A. Waller, Emory University Hypotheses: A Study of the Mechanisms by which Weight Loss Reduces Arterial Stiffness 7c. Joint Modeling of Longitudinal Multivariate Measurements Jennifer N. Cooper*, Jeanine M. Buchanich, Ada Youk, and Survival data with Applications to Parkinson’s Disease Maria M. Brooks and Kim Sutton-Tyrrell, University of Pittsburgh SCIENTIFIC PROGRAM Bo He* and Sheng Luo, University of Texas at Houston 7n. Multivariate Spatial Analysis via Mixtures 7d. Identification of Clinically Relevant Disease Subtypes Brian Neelon* and Rebecca Anthopolos, Duke University using Supervised Sparse Clustering Sheila Gaynor* and Eric Bair, University of North 7o. Elliptic Spatial Scan Statistic on Trends Carolina-Chapel Hill Jun Luo*, Information Management Services, Inc.

7e. Multistate Markov Chain Transition Model for Clustered 7p. Joint Modeling of Longitudinal Health Predictors Longitudinal Data: Application to an Osteoarthritis Study and Cross-sectional Health Outcomes via Mean Ke Wang*, Bin Zhang and Yuqing Zhang, Boston University; and Variance Trajectories Haiqun Lin, Yale University and Howard Cabral, Bei Jiang* and Mike Elliot, University of Michigan; Boston University Mary Sammel, University of Pennsylvania and Naisyin Wang, University of Michigan 7f. A Bivariate Location-Scale Mixed-Effects Model with Application to Ecological Momentary Assessment 7q. Conditional Maximum Likelihood Estimation in Tumor (EMA) Data Growth Models under Volume Endpoint Censoring Oksana Pugach* and Donald Hedeker, University of Illinois Kingshuk Roy Choudhury*, Duke University and at Chicago Finbarr O’Sullivan, University College Cork, Ireland

7g. The Influences of Utilized and Theoretical Covariance 7r. An Analytical Framework for HPV Transmission using Weighting Matrices on the Estimation Performance of QIF Longitudinal Data on Couples Philip M. Westgate*, University of Kentucky Xiangrong Kong*, Johns Hopkins Bloomberg School of Public Health 7h. Group-based Trajectory Modeling of Cardiac Autonomic Modulation 7s. Dimension Reduction Techniques in Application Michele Shaffer*, Fan He and Duanping Liao, Penn State to Longitudinal Data Analysis College of Medicine Tamika Royal-Thomas*, Winston-Salem State University; Daniel McGee, Debajyoti Sinha, Florida State University; 7i. Statistical Inference on Temporal Gradients in Regionally Clive Osmond, University of Southampton and Terrence Aggregated Data Forrester, University of the West Indies Harrison S. Quick*, Sudipto Banerjee and Bradley P. Carlin, University of Minnesota 7t. A Bayesian Semi-Parametric Joint Modeling for Longitudinal and Survival Data 7j. Fitting Parametric Random Effects Models in very Large Julius S. Ngwa* and L. Adrienne Cupples, Boston University Data Sets with Application to VHA Data Mulugeta Gebregziabher, Leonard E. Egede, Gregory E. Gilbert* and Kelly Hunt, Center for Disease Prevention and Health Interventions in Diverse Population; Paul Nietert, Medical University of South Carolina and Patrick Mauldin, Center for Disease Prevention and Health Interventions in Diverse Population

23 Preliminary Program n = Student Award Winner | * = Presenter 8. POSTERS: 9. POSTERS: Multivariate, Non-Parametric, and Modeling, Prediction, Diagnostic Testing, Semi-Parametric Models Variable Selection, And Consulting Sponsor: ENAR Sponsor: ENAR

8a. Estimation of Kendall’s Tau For Bivariate Survival 9a. Joint Modeling of Censored Multivariate Longitudinal Data with Truncation and Event Time Data Hong Zhu*, The Ohio State University Francis Pike* and Lisa Weissfeld, University of Pittsburgh

8b. Probabilistic Index Mixed Models for Clustered Data 9b. Cross-sectional HIV-1 Incidence Estimation Utilizing Fanghong Zhang*, Ghent University, Belgium; Viral Genetic Diversity Stijn Vansteelandt, Ghent University, Belgium and Natalie M. Exner*, Vladimir A. Novitsky and Marcello Pagano, London School of Hygiene and Tropical Medicine, U.K.; Harvard School of Public Health Jan De Neve and Olivier Thas, Ghent University, Belgium 9c. Jackknife Empirical Likelihood for ROC Curves SCIENTIFIC PROGRAM 8c. A Multi-dimensional Approach to Large-scale Simultaneous with Missing Data Hypothesis Testing using Voronoi Tessellations Hanfang Yang*, Georgia State University Daisy L. Phillips* and Debashis Ghosh, The Pennsylvania State University 9d. Profile Likelihood Based Confidence Interval of the Intraclass Correlation for Binary Outcomes, 8d. Model Selection and Estimation in Generalized Additive with Applications to Toxicological Data Mixed Models Krishna K. Saha*, Central Connecticut State University Dong Wang* and Daowen Zhang, North Carolina State University 9e. Introductory Statistics for Medical Students—in 6 Lectures 8e. Clinical Variables Associated with Melanoma Brain Jacob A. Wegelin*, Virginia Commonwealth University Metastasis: A Meta Analysis Meng Qian*, Michelle Ma, Ronald O. Perelman, Iman Osman 9f. Comparison of Tests in a Region around the and Yongzhao Shao, New York University School of Medicine Optimal Threshold Donna K. McClish*, Virginia Commonwealth University 8f. Rank Based Estimation for Generalized Linear Models Guy-vanie M. Miakonkana* and Asheber Abebe, 9g. Interquantile Shrinkage in Regression Models Auburn University Liewen Jiang*, Howard Bondell and Judy Wang, North Carolina State University 8g. Exploring Multivariate Associations: A Graph Theoretic Approach Revisited 9h. A Joint Model for Quality of Life and Survival in Palliative Srikesh G. Arunajadai*, Columbia University Care Studies Zhigang Li*, Tor Tosteson and Marie Bakitas, 8h. Comparison of Rank Based Tests in Combined Designs Dartmouth Medical School Yvonne M. Zubovic*, Indiana University Purdue University Fort Wayne 9i. The Hosmer-Lemeshow Goodness of Fit Test for Multiply Imputed Data 8i. Factor Analysis for Binary Data used to Measure Patient´s Danielle Sullivan and Rebecca R. Andridge*, Expectations and Experiences with Health Services| The Ohio State University Rebeca Aguirre-Hernandez*, Alicia Hamui-Sutton, Ruth García-Fuentes and Anselmo Calderon-Estrada, Ciudad Universitaria, Mexico

8j. Autoassociative Neural Network Approach for Nonlinear Principal Component Analysis Siddik Keskin*, Yuzuncu Yil University and University of Toronto and W.Y. Wendy Lou, University of Toronto

24 ENAR 2012 SPRING MEETING APRIL 1–4 SCIENTIFIC PROGRAM

9j. Reverse Kaplan-Meier Method for Analyzing Biomarkers 9l. Efficient Estimation using Conditional Empirical Likelihood with Limit of Detection with Missing Outcomes Tulay Koru-Sengul*, University of Miami Peisong Han*, Lu Wang and Peter X.K. Song, University of Michigan 9k. Empirical Likelihood Based Tests for Stochastic Ordering in Right-censored Setting 9m. A Perturbation Method for Prediction Accuracy with Hsin-wen Chang* and Ian W. McKeague, Columbia University Regularized Regression Jessica Minnier and Tianxi Cai*, Harvard School of Public Health

25 Preliminary Program n = Student Award Winner | * = Presenter Monday, April 2 12. Optimal and Personalized Treatment of HIV Sponsor: IMS 8:30 – 10:15 am Organizer: Michael Hudgens, University of North Carolina at Chapel Hill Chair: Michael Hudgens, University of North Carolina 10. Statistical Genomics in Sequencing Era, at Chapel Hill from Data Analysis to Personal Medicine Sponsor: ENAR 8:30 Methods for Evaluating the Effects of Delayed Organizer: Wei Sun, University of North Carolina at Chapel Hill ARV Regimen Change Chair: Wei Sun, University of North Carolina at Chapel Hill Brent A. Johnson*, Emory University

9:00 Personalized Medicine for HIV Patients 8:30 Quantitative Trait Analysis Under Initiating Therapy Trait-Dependent Sampling, with Applications Brian Claggett*, Yun Chen, Michael Hughes, to the NHLBI Exome Sequencing Project Heather Ribaudo, Camlin Tierney, and Danyu Lin* and Donglin Zeng, University of North Katie Mollan, Harvard School of Public Health

SCIENTIFIC PROGRAM Carolina at Chapel Hill 9:30 Estimation of Constant and Time-Varying 8:55 A Survival-Supervised Latent Dirichlet Dynamic Parameters of HIV Infection Allocation Model for Genomic Based in a Nonlinear Differential Equation Model Studies of Disease Hulin Wu*, Hongyu Miao and Hua Liang, John A. Dawson and Christina Kendziorski*, University of Rochester University of Wisconsin–Madison 10:00 Floor Discussion 9:20 Detection of RNA and DNA Sequence Differences in the Human Transcriptome Mingyao Li*, University of Pennsylvania 13. Statistical Methods for Hospital Comparisons Sponsor: ASA Biometrics Section 9:45 Estimation of Sequencing Error Rates Organizer: Tom Louis, Johns Hopkins University in Short Reads Chair: Debashis Ghosh, Penn State University Xin Victoria Wang*, Dana-Farber Cancer Institute, Harvard School of Public Health; Natalie Blades, Brigham Young University; Jie Ding, Dana-Farber 8:30 Hospital Comparisons, Issues and Approaches Cancer Institute, Harvard School of Public Health; Arlene Ash, University of Massachusetts Medical Razvan Sultana, Dana-Farber Cancer Institute, School; Stephen E. Fienberg, Carnegie Mellon Boston University and Giovanni Parmigiani, University; Thomas A. Louis*, Johns Hopkins Dana-Farber Cancer Institute, Harvard School of Bloomberg School of Public Health; Sharon-Lise Public Health T. Normand, Harvard Medical School and Harvard 10:10 Floor Discussion School of Public Health; Therese Stukel, University of Toronto and Jessica Utts, University of California, Irvine 11. Variable Selection for Complex Models 9:00 Advantages of Unified Model-Based Sponsor: IMS Approaches to Provider Profiling Organizer: Marie Davidian, North Carolina State University Frank E. Harrell Jr, PhD., Department Chair: Marie Davidian, North Carolina State University of Biostatistics, Vanderbilt University School of Medicine 8:30 A ROAD to Classification in High 9:20 Challenges Implementing a Hierarchical Dimensional Space Model for Use in Public Reporting: The Case Jianqing Fan*, Princeton University; of “Hospital Compare.” Yang Feng, Columbia University and Xin Tong, Jeffrey H. Silber, MD, PhD., Departments of Princeton University Pediatrics and Anesthesiology & Critical Care, 8:55 Bayesian Nonparametric Variable Selection School of Medicine; Department of Health Care David Dunson*, Duke University Management, The Wharton School, University 9:20 Risk Prediction from Genome-Wide Data of Pennsylvania; Center for Outcomes Research, Ning Sun and Hongyu Zhao*, Yale School The Children’s Hospital of Philadelphia of Public Health 9:40 Discussion: Statisticians & Health Policy 9:45 Complete Least Squares for Screening Sharon-Lise T. Normand*, Harvard University and Variable Selection 10:00 Floor Discussion Leonard A. Stefanski*, Eric Reyes and Dennis Boos, North Carolina State University 10:10 Floor Discussion

26 ENAR 2012 SPRING MEETING APRIL 1–4 14. Statistical Evaluation of Diagnostic Performance 16. TOPIC CONTRIBUTED PAPERS: Using ROC Analysis Synthetic Health Data for Confidentiality Control Sponsor: ASA Health Policy Statistics Section Sponsor: ENAR Organizer: Kelly Zou, Pfizer Inc. Organizer: Mandi Yu, National Cancer Institute, National Chair: A. James O’Malley, Harvard Medical School Institutes of Health Chair: Yulei He, Harvard Medical School 8:30 Combining Biomarkers to Improve Diagnostic Accuracy 8:30 Imputation of Confidential Datasets with Chunling Liu, Hong Kong Polytechnic Spatial Locations using Point Process Models University; Aiyi Liu*, Eunice Kennedy Shriver Thais V. Paiva* and Jerome P. Reiter, National Institute of Child Health and Human Duke University Development, National Institutes of Health and 8:50 Multiple Imputation using Chained Equations Susan Halabi, Duke University for High Dimensional Longitudinal Missing 9:00 Performance Evaluation in Tasks of Detection Data in the DCCT/EDIC Study and Localzation of Multiple Targets per Subject Michael D. Larsen*, Paula McGee and John M. SCIENTIFIC PROGRAM Andriy I. Bandos*, University of Pittsburgh Lachin, The George Washington University 9:30 The Use of the Invariance Property in ROC 9:10 Assessing the Privacy of Randomized Analysis Multivariate Queries to a Database Using Kelly H. Zou*, Pfizer Inc. the Area under the Receiver-Operator 10:00 Discussant: Howard Rockette, University Characteristic Curve of Pittsburgh Gregory J. Matthews*, University of Massachusetts and Ofer Harel, University of Connecticut 15. Statistical Applications in Food Safety 9:30 Disclosure Control in the CanCORS Sponsor: ENAR Organizer: Errol Strain, U.S. FDA Center for Food Safety Bronwyn Loong* and David Harrington, Harvard and Applied Nutrition University; Alan Zaslavsky and Yulei He, Harvard Chair: Yoko Adachi, FDR Center for Veterinary Medicine Medical School 9:50 Partial Synthetic Data for Population-based Cancer Registry Data 8:30 Disproportionality Analyses for Detection Food Mandi Yu*, Li Zhu, Benmei Liu, Eric (Rocky) Feuer Adverse Events and Kathleen Cronin, National Cancer Institute, Stuart J. Chirtel*, U.S. Food and Drug Administration National Institutes of Health 9:00 Statistical Methods for Analysis of DNA 10:10 Floor Discussion Aptamers Yan Luo*, Jeffrey A. DeGrasse, Sara Handy, Andrea Ottesen and Errol Strain, U.S. Food and 17. TOPIC CONTRIBUTED PAPERS: Drug Administration Statistical Issues Arising from Alternatives to 9:30 Forensic Analysis of Bacterial Genomes for Double-Masked Randomized Controlled Trials Foodborne Outbreaks Sponsor: ENAR Errol A. Strain*, Allard Marc, Eric Brown and Organizers: Scott Miller, Shiling Ruan, and Qin Li, U.S. Food Luo Yan, U.S. Food and Drug Adminstration and Drug Administration 10:00 Floor Discussion Chair: Scott Miller, U.S. Food and Drug Administration

8:30 A Regulatory View of the Statistical Challenges for Alternatives to Double-Masked Randomized Controlled Trials Gregory Campbell*, U.S. Food and Drug Administration 8:45 Study Design and Analysis issues with EFM-CAD Bipasa Biswas*, U.S. Food and Drug Administration

27 Preliminary Program n = Student Award Winner | * = Presenter 9:00 Assessing the “Success” of the Blind in 19. CONTRIBUTED PAPERS: Sham-Controlled Randomized Clinical Trials Spatial/Temporal Modeling Valerie Durkalski* and Qi Wu, Medical University Sponsor: ENAR of South Carolina Chair: Victoria Liublinska, Harvard University 9:15 Practices of Using Propensity Score Methods in Drug-Eluting Stent Studies 8:30 A Geoadditive Imputation Approach to Hong Wang* and H. Terry Liao, Boston Scientific Measurement Error Correction with Spatially Corporation Misaligned Non-normal Data 9:30 Study Designs for Postmarket Surveillance Lauren Hund* and Till Baernighausen, Harvard Theodore Lystig* and Jeremy Strief, Medtronic, Inc. School of Public Health; Frank Tanser, Africa 9:45 Challenges in Non-Randomized Controlled Centre for Health and Population Studies and Medical Device Trials Brent Coull, Harvard School of Public Health Shelby Li* and Shufeng Liu, Medtronic, Inc. 8:50 Modeling Air Pollution Mixtures 10:00 Floor Discussion in Southern California Reza Hosseini, Meredith Franklin*, SCIENTIFIC PROGRAM Duncan Thomas and Kiros Berhane, 18. CONTRIBUTED PAPERS: University of Southern California Statistical Genetics 9:10 Flexible Bayesian Predictive Process Spatial Sponsor: ENAR Factor Models for Misaligned Data Sets Chair: Kun Chen, Kansas State University Qian Ren* and Sudipto Banerjee, University of Minnesota 8:30 Nonlinear Sufficient Dimension Reduction 9:30 High-Dimensional State Space Models for for Association Testing of Complex Traits Dynamic Gene Regulatory networks Hongjie Zhu*, Duke University; Lexin Li and Iris Chen* and Hulin Wu, University of Rochester Hua Zhou, North Carolina State University 9:50 A Stochastic and State Space Mixture 8:45 A Graph-constrained Estimation and Model of Human Liver Cancer Multiple- Regularization for Survival Analysis of Pathway Model Involving both Hereditary Microarray Gene Expression Data and Non-hereditary Cancer Hokeun Sun*, Columbia University and Xiaowei (Sherry) Yan*, Geisinger Center for Hongzhe Li, University of Pennsylvania Health Research and Wai-Yuan Tan, 9:00 Local Ancestry Inference in Admixed Nuclear University of Memphis Families using a Two-layer Clustering Model 10:00 Floor Discussion Wei Chen*, University of Pittsburgh and Yongtao Guan, Baylor College of Medicine 20. CONTRIBUTED PAPERS: 9:15 A Flexible Varying Coefficient Model for Non-Linear, PK-PD, and Dose-Response Models the Detection of Nonlinear Gene-Environment Sponsor: ENAR Interaction Chair: Howard Chang, Emory University Yuehua Cui and Cen Wu*, Michigan State University 9:30 Permutation-based Expression Pathway Analysis, Without Permutation 8:30 Non-Linear Models for Multiple Flow Exhaled n Yi-Hui Zhou* and Fred A. Wright, University Nitric Oxide Data of North Carolina at Chapel Hill Sandrah P. Eckel*, Kiros Berhane, William S. Linn, Muhammad T. Salam, Yue Zhang, Edward 9:45 Response-selective Sampling Designs B. Rappaport and Frank D. Gilliland, University of for Rare Variant Analysis in Genetic Southern California Association Studies Yildiz E. Yilmaz*, University of Toronto 8:45 An Empirical Approach to Sufficient Similarity: Combining Exposure Data and Mixtures 10:00 Floor Discussion Toxicology Data Chris Gennings*, Virginia Commonwealth University; Scott Marshall, BioStat Solutions, Inc. and LeAnna G. Stork, Monsanto Company

28 ENAR 2012 SPRING MEETING APRIL 1–4 9:00 Comparison of Different Biosimilarity Criteria under Various Study Designs Eric Chi, Amgen Inc.; Shein-Chung Chow, Duke University and Hao Zhang*, Amgen Inc. 9:15 Semiparametric Modeling of Dose-Response Relationships in Ex-Vivo Experiments Samiha Sarwat* and Jaroslaw Harezlak, Indiana University School of Medicine and Clarissa Valim, Harvard School of Public Health 9:30 Nonlinear Models for Meta-Analysis of Summary Exposure-Response Data Paul W. Stewart*, University of North Carolina at Chapel Hill and Vernon Benignus, U. S. Environmental Protection Agency 9:45 Statistical Inference for Dynamic Systems SCIENTIFIC PROGRAM Governed by Differential Equations with Applications to Toxicology n Siddhartha Mandal* and Pranab K. Sen, University of North Carolina at Chapel Hill and Shyamal D. Peddada, National Institute of Environmental Health Sciences, National Institutes of Health 9:00 A Mixture of Markov Models for 10:00 A B-spline Based Semiparametric Nonlinear Heterogeneous Longitudinal Ordinal Data Mixed Effects Model with Applications to Analyzing Longitudinal Angelo Elmi*, George Washington University; Bacterial Vaginosis Data Sarah Ratcliffe, Samuel Parry and Wensheng Guo, Kyeongmi Cheon*, Paul S. Albert and Marie University of Pennsylvania School of Medicine Thoma, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National 21. CONTRIBUTED PAPERS: Institutes of Health Longitudinal Data 9:15 Semiparametric Regression with Nested Sponsor: ENAR Repeated Measures Data Chair: Benjamin French, University of Pennsylvania Rhonda D. VanDyke*, Resmi Gupta and Raouf S. Amin, Cincinnati Children’s Hospital Medical Center 8:30 A Bayesian Semiparametric Approach 9:30 Analysis of Longitudinal Data using ARMA(1,1) for Incorporating Longitudinal Information Correlation Model on Exposure History for Inference in Sirisha L. Mushti* and N. Rao Chaganty, Old Case-control Studies Dominion University Dhiman Bhadra*, Worcester Polytechnic Institute; 9:45 Generalized p-value Method for Testing Zero Michael J. Daniels, University of Florida; Sung Duk Variance in Linear Mixed-effects Models Kim, Eunice Kennedy Shriver National Institute Haiyan Su*, Montclair State University; Xinmin Li, of Child Health and Human Development, National Shan Dong University of Technology; Hua Liang Institutes of Health; Malay Ghosh, University and Wulin Wu, University of Rochester of Florida and Bhramar Mukherjee, University 10:00 Variable Selection and Estimation for of Michigan Multivariate Panel Count Data via the 8:45 Shared Parameter Models for Longitudinal Seamless-L0 Penalty Multiple Source Cost Data Haixiang Zhang*, University of Missouri Mulugeta Gebregziabher*, Medical University and University of Jilin, China and Jianguo Sun, of South Carolina and Ralph H. Johnson VA University of Missouri Medical Center, Charleston; Yumin Zhao and Clara E. Dismuke, Ralph H. Johnson VA Medical Center, Charleston; Kelly J. Hunt, Ralph H. Johnson VA Medical Center, Charleston and Medical University of South Carolina and Leonard E. Egede, Ralph H. Johnson VA Medical Center, Charleston

29 Preliminary Program n = Student Award Winner | * = Presenter Monday, April 2 (continued) 24. Causal Inference and Measurement Error Sponsor: IMS 10:30 am – 12:15 pm Organizer: Tyler Vanderweele, Harvard University Chair: Tyler Vanderweele, Harvard University

22. Correlated High-Dimensional Data 10:30 Analytic Results on the Bias due to Sponsor: ASA Section on Statistical Learning and Data Mining Nondifferential Misclassification of Organizer: Annie Qu, University of Illinois a Confounder Chair: Annie Qu, University of Illinois Elizabeth L. Ogburn* and Tyler J. VanderWeele, Harvard University 10:30 Positive Definite Sparse Estimators of 10:55 Measurement Bias in Causal Inference: High-dimensional Covariance Matrices A Graph-based Perspective Adam J. Rothman*, University of Minnesota Judea Pearl*, University of California at 10:55 Statistical Models for Analysis of Human Los Angeles Microbiome Data 11:20 Mediation Analysis when Mediator is SCIENTIFIC PROGRAM Hongzhe Li*, University of Pennsylvania Mis-measured or Mis-classified and Outcome 11:20 Joint Statistical Modeling of Multiple is Continuous High-dimensional Data Linda Valeri* and Tyler J. VanderWeele, Yufeng Liu*, University of North Carolina at Chapel Hill Harvard University 11:45 On Maximum Likelihood Estimation of 11:45 Average Causal Effect Estimation Allowing Multiple Precision Matrices Covariate Measurement Error Xiaotong Shen*, Yunzhang Zhu and Wei Pan, Yi Huang* and Xiaoyu Dong, University of University of Minnesota Maryland, Baltimore County; Karen Bandeen- 12:10 Floor Discussion Roche, Johns Hopkins University and Cunlin Wang, U.S. Food and Drug Administration 23. Current Developments In Bayesian 12:10 Floor Discussion Clinical Trials Sponsor: ENAR 25. Two-Phase Estimation Organizer: Karen Price, Eli Lilly & Company Sponsor: ASA Survey Research and Methodology Section Chair: Karen Price, Eli Lilly & Company Organizer: Phillip Kott, RTI International Chair: Dan Liao, RTI International 10:30 Bayesian Applications in Drug Safety Evaluation 10:30 Investigating Alternative ways of Estimating Amy Xia*, Amgen, Inc. the Proportion of a Population with Serious 11:00 Commensurate Priors for Incorporating Mental Illness from a Two-Phase Sample Historical Information in Clinical Trials using Phillip S. Kott*, Dan Liao and Jeremy Aldworth, General and Generalized Linear Models RTI International Brian P. Hobbs, University of Texas MD Anderson 11:00 Efficient Design and Inference for Gene X Cancer Center; Daniel J. Sargent, Mayo Clinic and Environment Interaction, using Sequencing Data Bradley P. Carlin*, University of Minnesota Kenneth Rice*, University of Washington and 11:30 Identifying Potential Adverse Events Dose- Thomas Lumley, University of Auckland Response Relationships via Bayesian Indirect 11:30 A Model Assisted Approach to Combining and Mixed Treatment Comparison Models Data from two Independent Surveys Haoda Fu*, Karen L. Price, Mary E. Nilsson and Jae-kwang Kim*, Iowa State University and Stephen J. Ruberg, Eli Lilly & Company J.N.K. Rao, Carleton University, Canada 12:00 Discussant: George Rochester, U.S. Food and 12:10 Floor Discussion Drug Administration

30 ENAR 2012 SPRING MEETING APRIL 1–4 26. Semi-Competing Risks 28. TOPIC CONTRIBUTED PAPERS: Sponsor: ENAR Statistical Challenges of Spatial Multi-Pollutant Organizer: Qingxia Chen, Vanderbilt University Data in Environmental Epidemiology Chair: Qingxia Chen, Vanderbilt University Sponsor: ENAR Organizer: Stacey E. Alexeeff, Harvard School of Public Health 10:30 Bayesian Gamma Frailty Models for Chair: Brent A. Coull, Harvard School of Public Health Survival Data with Semi-Competing Risks and Treatment Switching 10:30 Methods for Spatially-varying Measurement Yuanye Zhang and Ming-Hui Chen*, University of Error in Air Pollution Epidemiology Connecticut; Joseph G. Ibrahim and Donglin Zeng, Stacey E. Alexeeff*, Harvard School of Public University of North Carolina at Chapel Hill; Health; Raymond J. Carroll, Texas A&M Qingxia Chen, Vanderbilt University; Zhiying Pan University and Brent A. Coull, Harvard School and Xiaodong Xue, Amgen Inc. of Public Health 10:55 Quantile Regression Methods 10:50 Reduced Bayesian Hierarchical Models: for Semi-Competing Risks Data

SCIENTIFIC PROGRAM Estimating Health Effects of Simultaneous Limin Peng*, Emory University Exposure to Multiple Pollutants 11:20 Nonparametric Cause-specific Association Jennifer F. Bobb*, Johns Hopkins Bloomberg Analyses of Multivariate Untied or Tied School of Public Health; Francesca Dominici, Competing Risks Data Harvard School of Public Health and Roger Hao Wang and Yu Cheng*, University of Pittsburgh D. Peng, Johns Hopkins Bloomberg School 11:45 Estimation of Time-dependent Association of Public Health for Bivariate Failure Times in the Presence 11:10 Spatial Variable Selection Methods for of a Competing Risk Estimating Health Effects of Speciated Jing Ning*, University of Texas MD Anderson Particulate Matter Cancer Center and Karen Bandeen-Roche, Johns Laura F. Boehm*, North Carolina State University; Hopkins University Francesca Dominici, Harvard School of Public 12:10 Floor Discussion Health; Brian J. Reich and Montserrat Fuentes, North Carolina State University 27. Graduate Student and Recent Graduate Council 11:30 Bayesian Spatially-varying Coefficient Models Invited Session: Careers in Biostatistics for Estimating the Toxicity of the Chemical Components of Fine Particulate Matter Sponsor: ENAR Yeonseung Chung*, Korea Advanced Institute Organizer: Hormuzd Katki, National Cancer Institute, National of Science and Technology; Francesca Dominici, Institutes of Health Michelle Bell and Brent Coull, Harvard School Chair: Reneé Moore, University of Pennsylvania of Public Health 10:30 The Graduate Student and Recent 11:50 A Bivariate Space-time Downscaler under Graduate Council Space and Time Misalignment Hormuzd Katki*, National Cancer Institute, Veronica J. Berrocal*, University of Michigan, Alan National Institutes of Health E. Gelfand, Duke University and David M. Holland, 10:55 Are You a Hedgehog or a Fox? Brief Comments U.S. Environmental Protection Agency on a Career in Statistical Consulting 12:00 Floor Discussion Jennifer Schumi*, Statistics Collaborative 11:20 Careers of Statisticians and Biostatisticians in the Government Telba Irony*, U. S. Food and Drug Administration/CDRH 11:45 Living and Working in Academia Post Graduation Kimberly L. Drews*, The George Washington University Biostatistics Center 12:10 Floor Discussion

31 Preliminary Program n = Student Award Winner | * = Presenter 29. TOPIC CONTRIBUTED PAPERS: 11:00 Extending the TITE CRM to Multiple Outcomes Sample Size Adjustments for Clinical Trials Joseph S. Koopmeiners*, University of Minnesota with Multiple Comparisons 11:15 A Bayesian Adaptive Allocation Method for Sponsor: ENAR Clinical Trials with Dual Objectives Organizer: Yi Tsong, U.S. Food and Drug Administration Roy T. Sabo*, Ghalib Bello, Lauren Grant, Chair: Jinglin Zhong, U.S. Food and Drug Administration Cathy Roberts, Amir A. Toor and John M. McCarty, Virginia Commonwealth University 10:30 Sample Sizes for Trials involving Multiple 11:30 A Simulation Study to Decide the Timing of an Correlated Must-win Comparisons Interim Analysis in a Bayesian Adaptive Dose- Steven A. Julious*, University of Sheffield and finding Studies with Delayed Responses Nikki E. McIntyre, AstraZeneca Xiaobi Huang*, Merck & Co., Inc. and Haoda Fu, 10:50 Sample Sizes Accounting for Multiplicity: Eli Lilly and Company Importance in Phase 2 11:45 A Trivariate Continual Reassessment Method Brian L. Wiens*, Srichand Jasti and for Phase I/ II Trials of Toxicity, Efficacy, and John W. Seaman, Alcon Laboratories, Inc. Surrogate Efficacy SCIENTIFIC PROGRAM 11:10 Power and Sample Size Determination in Clinical Wei Zhong*, Joseph S. Koopmeiners and Trials with Two-Correlated Relative Risks Bradley P. Carlin, University of Minnesota Toshimitsu Hamasaki*, Osaka University 12:00 Floor Discussion Graduate School of Medicine; Scott Evans, Harvard University School of Public Health; 31. CONTRIBUTED PAPERS: Tomoyuki Sugimoto, Hirosaki University and Biomarkers I Takashi Sozu, Kyoto University School of Sponsor: ENAR Public Health Chair: Philip Westgate, University of Kentucky 11:30 Test and Power Considerations for Multiple Endpoint Analyses using Sequentially Rejective Graphical Procedures 10:30 Lognormal and Gamma Models to Estimate Frank Bretz*, Willi Maurer and Means for Skewed Biomarker Data Subject Ekkehard Glimm, Novartis to Assay Pooling Emily M. Mitchell* and Robert H. Lyles, 11:50 Sample Size of Thorough QTc Clinical Trial Emory University; Neil J. Perkins and Enrique F. Adjusted for Multiple Comparisons Schisterman, National Institute of Child Health Yi Tsong*, U.S. Food and Drug Administration and Development, National Institutes of Health and Xiaoyu Dong, University of Maryland at Baltimore County 10:45 Applying the Patient Rule Induction Method (PRIM) to Identify Prognostic 12:10 Floor Discussion and Predictive Biomarkers in Drug Development for Survival Data 30. CONTRIBUTED PAPERS: Gong Chen* and Viswanath Devanarayan, Adaptive Design/Adaptive Randomization Abbott Labs Sponsor: ENAR 11:00 Prospective Pooling for Discrete Survival Chair: Bo He, University of Texas at Houston Outcome Paramita Saha Chaudhuri*, Duke University 10:30 Platform-based Clinical Trial Designs for School of Medicine; David M. Umbach and Clarice Efficient Drug Development Strategies R. Weinberg, National Institute of Environmental Brian P. Hobbs* and. J. Jack Lee, University Health Sciences, National Institutes of Health of Texas MD Anderson Cancer Center 11:15 An Application of the Rare and Weak Model 10:45 A Bayesian Decision-Theoretic Sequential- in Biomarker Discovery in Proteomics Study Response Adaptive Randomization Design Xia Wang*, University of Cincinnati and Nell Fei Jiang*, Rice University; J. Jack Lee, Sedransk, National Institute of Statistical Sciences University of Texas MD Anderson Cancer Center 11:30 Meta-Regression Models to Detect and Peter Mueller, University of Texas at Austin Biomarkers Confounded by Study-level Covariates in Major Depressive Disorder Microarray Data Xingbin Wang*, Etienne Sibille and George C. Tseng, University of Pittsburgh

32 ENAR 2012 SPRING MEETING APRIL 1–4 11:45 Estimation of C-index for Censored Biomarker 33. CONTRIBUTED PAPERS: Data in Cox Proportional Hazard Model Epidemiologic Methods Yeonhee Kim*, INC Research and Lan Kong, Sponsor: ENAR Penn State Hershey College of Medicine Chair: Ghideon Ghebregiorgis, U.S. Food and Drug 12:00 Logistic Regression Analysis of Biomarker Administration Data Subject to Pooling and Dichotomization Zhiwei Zhang*, U.S. Food and Drug Administration; 10:30 A Path-Specific SEIR Model for use Aiyi Liu, Eunice Kennedy Shriver National Institute with General Latent and Infectious of Child Health and Human Development, Time Distributions National Institutes of Health; Robert H. Lyles, Aaron T. Porter* and Jacob J. Oleson, Emory University and Bhramar Mukherjee, University of Iowa University of Michigan 10:45 Semi-parametric Methods for Relative Risk Center Effect Measures 32. CONTRIBUTED PAPERS: Kevin He* and Douglas E. Schaubel, Causal Inference University of Michigan SCIENTIFIC PROGRAM Sponsor: ENAR 11:00 A General Binomial Regression Model for Chair: George Michailidis, University of Michigan Estimating Standardized Risk Differences from Cohort Data 10:30 Causal Inference with Treatment Delay: Stephanie A. Kovalchik*, National Cancer Institute, Evaluating Medication use in Women with National Institutes of Health; Ravi Varadhan, High Risk for Preterm Birth via Propensity Johns Hopkins University School of Medicine; Score Matching Barbara Fetterman and Nancy E. Poitras, Kaiser Erinn Hade, Bo Lu* and Hong Zhu, The Ohio Permanente; Sholom Wacholder and Hormuzd A. State University Katki, National Cancer Institute, National Institutes of Health 10:45 A New Distribution-free Approach for Longitudinal Mediation Analysis with 11:15 prLogistic: An R Package for Estimation of Non-continuous Outcomes and Mediators Prevalence Ratios using Logistic Models Douglas D. Gunzler*, Case Western Leila D. Amorim*, University of North Carolina Reserve University at Chapel Hill and Raydonal Ospina, Federal University of Pernambuco, Brazil 11:00 Large Sample Properties of Multiplicative Treatment Effect Estimate using Propensity- 11:30 Extending Matrix and Inverse Matrix Methods: Score Matching Another Look at Barron’s Approach Diqiong Xie* and Michael P. Jones, Li Tang* and Robert H. Lyles, Emory University; Universityof Iowa David D. Celantano, Johns Hopkins Bloomberg School of Public Health and Yungtai Lo, 11:15 Principal Stratification for Assessing Montefiore Medical Center and Albert Einstein Mediation with a Continuous Mediator College of Medicine Robert Gallop*, West Chester University 11:45 Pattern-Mixture Models for Addressing 11:30 Targeted Minimum Loss Based Estimation Outcome Misclassification from Proxies of Causal Effects of Multiple Time Point Responding on Behalf of Participants with Interventions Informatively Missing Self-Reports Mark J. van der Laan, University of California, Michelle Shardell*, University of Maryland School Berkeley and Susan Gruber*, Harvard School of of Medicine Public Health 12:00 Floor Discussion 11:45 A Data-Adaptive Approach for Modeling Propensity Scores Yeying Zhu* and Debashis Ghosh, The Pennsylvania State University; Nandita Mitra, University of Pennsylvania and Bhramar Mukherjee, University of Michigan 12:00 Floor Discussion

33 Preliminary Program n = Student Award Winner | * = Presenter Monday, April 2 (continued) 2:35 Bayesian Approaches for the Integration of Large-Scale Data 12:15 – 1:30 pm | Roundtable Luncheons Marina Vannucci*, Rice University 3:00 Bayesian Hierarchical Graph-Structured 1:45 – 3:30 pm Model with Application to Pathway Analysis Using Gene Expression Data 34. Recent Advances On High-Dimensional Medical Hui Zhou and Tian Zheng*, Columbia University Data Analysis 3:25 Floor Discussion Sponsor: ASA Section on Statistical Learning and Data Mining Organizer: Hua Liang, University of Rochester 36. New Trends in Statistical Analysis Chair: Hua Liang, University of Rochester of Biological Networks Sponsor: ASA Section on Statistical Learning and Data Mining 1:45 Feature Screening via Distance Correlation Organizer: Ali Shojaie, University of Washington Learning Chair: Peng Wei, University of Texas Health Sciences Center

SCIENTIFIC PROGRAM Runze Li*, Wei Zhong, Penn State University and Liping Zhu, Shanghai University of Finance 1:45 New Tools for Systems-Level Analysis of and Economics Regulation and Signaling Dynamics 2:10 Time-Varying Signal Detection for Alexander Franks and Edoardo M. Airoldi*, Correlated Data Harvard University Annie Qu*, University of Illinois at Urbana- 2:10 Dynamic Models for Baboon Grooming Champaign; Lan Xue, Oregon State University Networks and Colin Wu, National Heart, Lung and Blood David L. Banks* and Yingbo Li, Duke University Institute, National Institutes of Health 2:35 Biologically-Structured Latent Factor Models 2:35 SOFARE: Selection of Fixed and Random for Identification of Cellular Mechanism Effects in High-Dimensional Longitudinal of Action Data Analysis Lisa Pham, Eric D. Kolaczyk*, Luis E. Carvalho, Yun Li, University of Michigan; Sijian Wang, Boston University; Stephane Robin, ParisAgroTech University of Wisconsin-Madison; Peter X.K. and Scott E. Schaus, Boston University Song*, Naisyin Wang and Ji Zhu, University 3:00 Inferring Gene Regulatory Networks of Michigan by Integrating Perturbation Screens 3:00 Variable Selection for Optimal Treatment and Steady-State Expression Profiles Decision Ali Shojaie*, University of Washington; Hao Helen Zhang*, University of Arizona; Wenbin Alexandra Jauhiainen, Michael Kallitsis and Lu, North Carolina State University and Donglin George Michailidis, University of Michigan Zeng, University of North Carolina at Chapel Hill 3:25 Floor Discussion 3:25 Floor Discussion 37. Mathematical Modeling of Disease 35. Bayesian Approaches with Applications Sponsor: IMS to Genomics Organizer: Franziska Michor, Dana-Farber Cancer Institute Sponsor: ENAR Chair: Franziska Michor, Dana-Farber Cancer Institute Organizer: Steve Qin, Emory University Chair: Hao Wu, Emory University 1:45 Dynamics of Treatment Responses in Chronic Myeloid Leukaemia 1:45 Bayesian Inference of Chromosome Local Min Tang* and Franziska Michor, Dana-Farber 3D Structures from Hi-C Data Cancer Institute and Harvard School of Public Ming Hu* and Ke Deng, Harvard University; Health; Mithat Gonen, Memorial Sloan-Kettering Zhaohui S. Qin, Emory University and Jun S. Liu, Cancer Center; Alfonso Quintas-Cardama, Jorge Harvard University Cortes and Hagop Kantarjian, University of Texas 2:10 Inferring Social Networks from Molecular MD Anderson Cancer Center; Chani Field, Timothy and Linguistic Data P. Hughes and Susan Branford, University of Marc A. Suchard*, University of California at Adelaide, Adelaide, Australia Los Angeles

34 ENAR 2012 SPRING MEETING APRIL 1–4 2:15 Mathematical Modeling of Pancreatic Cancer 2:15 System of Equations Approach to Pooled Progression Reveals Dynamics of Growth Nucleic Acid Testing for Failing Antiretroviral and Dissemination and Suggests Optimum Therapy Treatment Strategies Tanya S. Granston* and Susanne May, University Hiroshi Haeno, Dana-Farber Cancer Institute; of Washington and Davey M. Smith, University of Mithat Gonen, Memorial Sloan-Kettering Can- California at San Diego cer Center; Meghan Davis, Joseph Herman and 2:45 Two-dimensional Informative Array Testing Christine Iacobuzio-Donahue, Johns Hopkins Christopher S. McMahan, Joshua M. Tebbs*, University and Franziska Michor*, Dana-Farber University of South Carolina and Christopher R. Cancer Institute Bilder, University of Nebraska-Lincoln 2:45 Patient-Specific Mathematical Modeling of 3:15 Floor Discussion Glioma Proliferation and Invasion: Informing Treatment Design and Patient Stratification Kristin Swanson*, Russ Rockne, Dave M. Corwin, 40. TOPIC CONTRIBUTED PAPERS: Robert Stewart, Mark Philips, Clay Holdsworth, Novel Developments In Statistical Blind

SCIENTIFIC PROGRAM Andrew Trister, Jason Rockhill and Maciej Source Separation And Independent Mrugala, University of Washington Components Analysis 3:15 Floor Discussion Sponsor: ENAR Organizer: Brian Caffo, Johns Hopkins University 38. High Dimensional Multi-Drug Combinations: Chair: Vadim Zipunnikov, Johns Hopkins University from Preclinical Models to Clinical Trials Sponsor: ASA Biometrics Section 1:45 A New Probabilistic Group ICA Method for Organizer: Hong-Bin Fang, University of Maryland Modeling Between-Subject Variability in Brain Chair: Hong-Bin Fang, University of Maryland Functional Networks Ying Guo* and Li Tang, Emory University 1:45 Statistical Methods for Preclinical Multi-Drug 2:05 Nonparametric Independent Component Combination Analysis with Application to EEG Data Ming T. Tan*, University of Maryland School Seonjoo Lee*, Henry Jackson Foundation; of Medicine Haipeng Shen and Young Truong, University of North Carolina at Chapel Hill 2:15 Dose-finding Methods for Combinations of Agents 2:25 Independent Component Analysis for Mark R. Conaway*, University of Virginia Functional Imaging Data Ani Eloyan*, Brian Caffo and Ciprian Crainiceanu, 2:45 A Bayesian Dose-finding Design for Drug Johns Hopkins University Combination Trials with Delayed Toxicities Suyu Liu and Ying Yuan*, University of Texas MD 2:45 Independent Component Analysis via Anderson Cancer Center Distance Covariance David S. Matteson*, Cornell University and 3:15 Discussant: Mourad Tighiouart, Samuel Ruey S. Tsay, University of Chicago Oschin Comprehensive Cancer Institute 3:05 A Bayesian Random Shape Model for fMRI and MRI Data 39. Group Testing Methodology: Lijun Zhang*, Jian Kang and F. DuBois Bowman, Recent Developments and Applications Emory University to Infectious Disease 3:25 Floor Discussion Sponsor: ASA Health Policy Statistics Section Organizer: Elena Bordonali, University of North Carolina at Chapel Hill Chair: Aiyi Liu, National Institutes of Health

1:45 Marginal Regression Models for Multiple- Disease Group Testing Data Christopher R. Bilder*, Boan Zhang, University of Nebraska-Lincoln and Joshua M. Tebbs, University of South Carolina

35 Preliminary Program n = Student Award Winner | * = Presenter 41. TOPIC CONTRIBUTED PAPERS: 2:00 A Bayesian Phase I/II Design for Oncology Causal Inference And Survival Analysis Clinical Trials of Combinational Biological Sponsor: ENAR Agents Organizer: Min Zhang, University of Michigan Chunyan Cai*, Ying Yuan and Yuan Ji, Chair: Min Zhang, University of Michigan University of Texas MD Anderson Cancer Center 2:15 Empirical Bayesian Methods for Enrollment 1:45 Estimating the Average Treatment Effect and Event Projection in Oncology Trials on Mean Survival Time when Treatment is Jingyang Zhang*, University of Iowa; Time-Dependent and Censoring is Dependent Luyan Dai and Wei Zhang, Boehringer Ingelheim Douglas E. Schaubel* and Qi Gong, Pharmaceuticals, Inc. University of Michigan 2:30 Analysis of Zero-Inflated Count Data from 2:05 Matching Methods for Obtaining Clinical Trials with Potential Dropouts Survival Functions to Estimate the Effect Jingyuan Yang*, Amgen Inc.; Xiaoming Li, Gilead of a Time-Dependent Treatment Sciences, Inc. and Guanghan F. Liu, Merck & Co. Yun Li* and Douglas E. Schaubel, 2:45 A Generalized Continual Reassessment SCIENTIFIC PROGRAM University of Michigan Method for Two-Agent Phase I Trials 2:25 Optimization of Dynamic Treatment Regimes Thomas M. Braun and Nan Jia*, for Recurrent Diseases University of Michigan Xuelin Huang* and Jing Ning, University of Texas 3:00 A Hierarchical Bayesian Design in MD Anderson Cancer Center Randomized Phase II Clinical Trials with 2:45 Prediction of Survival and Variable Multiple Subgroups Using Binary Endpoints Importance in Medical Informatics: Targeted Qian Shi, Mayo Clinic; Jun Yin*, University of Maximum Likelihood Estimation (T-MLE) and Iowa; Daniel J. Sargent, Charles Erlichman and SuperLearning Applied to High Dimensional Rui Qin, Mayo Clinic Longitudinal Data to Predict Survival Times 3:15 Variable Selection for Covariate-Adjusted among Severe Trauma Patients Semiparametric Inference in Randomized Alan Hubbard*, University of California, Berkeley; Clinical Trials Mitch Cohen, University of California, San Francisco; Shuai Yuan*, Helen Zhang and Marie Davidian, Anna Decker and Ivan Diaz, University of California, North Carolina State University Berkeley and Matthew Kutcher, University of California, San Francisco 43. CONTRIBUTED PAPERS: 3:05 A Semiparametric Recurrent Events Model with Time-varying Coefficients Competing Risks Zhangsheng Yu*, Indiana University School of Sponsor: ENAR Medicine and Lei Liu, University of Virginia Chair: Ani Eloyan, Johns Hopkins University 3:25 Floor Discussion 1:45 Frailty-based Competing Risks Model for Multivariate Survival Data 42. CONTRIBUTED PAPERS: Malka Gorfine*, Technion – Israel Institute of Clinical Trials Technology and Li Hsu, Fred Hutchinson Cancer Sponsor: ENAR Research Center Chair: Yanlei Peng, University of South Carolina 2:00 Semiparametric Estimation in the Proportional Subdistribution Hazards Model 1:45 Estimating Covariate-Adjusted Log Hazard with Missing Cause of Failure Ratios in Randomized Clinical Trials using Jonathan G. Yabes* and Chung-Chou H. Chang, Cox Proportional Hazards Models and University of Pittsburgh Nonparametric Randomization Based 2:15 Hierarchical Likelihood Inference on Analysis of Covariance Clustered Competing Risks Data Benjamin R. Saville*, Vanderbilt University and Nicholas J. Christian*, University of Pittsburgh Gary G. Koch, University of North Carolina at Chapel Hill

36 ENAR 2012 SPRING MEETING APRIL 1–4 2:30 Subdistribution Regression with Left- 45. CONTRIBUTED PAPERS: Truncated Semi-Competing Risks Data Genome-Wide Association Studies Ruosha Li*, University of Pittsburgh and Sponsor: ENAR Limin Peng, Emory University Chair: Kristen Foley, U.S. Environmental Protection Agency 2:45 Simulating Clustered Competing Risks Data Ruta Brazauskas*, John P. Klein and Jennifer G. 1:45 Genome-wide Association Analysis for Le-Rademacher, Medical College of Wisconsin Multiple Continuous Secondary Phenotypes 3:00 Analysis of Dependently Censored Data Elizabeth D. Schifano*, Lin Li, David C. Christiani based on Quantile Regression and Xihong Lin, Harvard School of Public Health Shuang Ji* and Limin Peng, Emory University; 2:00 Longitudinal Genetic Analysis of Ruosha Li, University of Pittsburgh Quantitative Traits and Michael J. Lynn, Emory University Ruzong Fan*, Eunice Kennedy Shriver 3:15 Floor Discussion National Institute of Child Health and Human Development, National Institutes of Health 2:15 Incorporating Group Correlations in SCIENTIFIC PROGRAM 44. CONTRIBUTED PAPERS: enome-Wide Association Studies using Functional Data Analysis Smoothed Group LASSO Sponsor: ENAR Jin Liu*, Yale University; Jian Huang, University Chair: Peng Wang, Bowling Green State University of Iowa; Shuangge Ma, Yale University and Kai Wang, University of Iowa 1:45 Longitudinal Survey Sampling of 2:30 A Penalized Likelihood Approach for Functional Data Pharmacogenetic Studies via Understanding David Degras*, DePaul University Haplotype Effect Structures for Gene and 2:00 Corrected Confidence Bands for Functional Gene-Drug Interactions Data using Principal Components Megan L. Neely*, Duke University; n Jeff Goldsmith*, Johns Hopkins Bloomberg Howard D. Bondell and Jung-Ying Tzeng, School of Public Health; Sonja Greven, North Carolina State University Ludwig-Maximilians-University and Ciprian 2:45 The Effect of Population Stratification on Crainiceanu, Johns Hopkins Bloomberg School Association Studies with Next Generation of Public Health Sequencing 2:15 Optimal Smoothing Bandwidth Selection Qianying Liu*, Lin Chen and Dan L. Nicolae, Methods for Functional Data University of Chicago Jingjing Yang*, David W. Scott and 3:00 Family-Based Association Tests using Dennis D. Cox, Rice University Genotype Data with Uncertainty 2:30 Multiscale Adaptive Composite Quantile Zhaoxia Yu*, University of California, Irvine Regression Models for Neuroimaging Data 3:15 Floor Discussion Linglong Kong* and Hongtu Zhu, University of North Carolina at Chapel Hill 2:45 Estimation of Functional Curve Peak Locations for Detection of Cervical Pre-cancer Lu Wang* and Dennis D. Cox, Rice University 3:00 Longitudinal Functional Regression Models with Structured Penalties Madan G. Kundu*, Jaroslaw Harezlak, Indiana University School of Medicine and Timothy W. Randolph, Fred Hutchinson Cancer Research Center 3:15 Functional Mixed-Effects Models for Multiple Outcomes Stephanie A. Kliethermes* and Jacob J. Oleson, University of Iowa

37 Preliminary Program n = Student Award Winner | * = Presenter Monday, April 2 (continued) 48. Recent Development in Optimal Treatment Strategies — Estimation, 3:30 – 3:45 pm | Break Selection, And Inference Sponsor: ASA Biometrics Section 3:45 – 5:30 pm Organizer: Wenbin Lu, North Carolina State University Chair: Hao Helen Zhang, North Carolina State University 46. Statistical Models for OMICS Data Sponsor: ENAR 3:45 Evaluating Optimal Treatment Policies based Organizer: Yuan Ji, University of Texas MD Anderson on Gene Expression Profiles Cancer Center Ian McKeague* and Min Qian, Columbia University Chair: Wei Sun, University of North Carolina at Chapel Hill 4:10 Iterative Outcome Weighted Learning for Estimating Optimal Dynamic Treatment Regime 3:45 Differential Principal Component Analysis of Donglin Zeng*, Yingqi Zhao and Michael Kosorok, ChIP-seq University of North Carolina at Chapel Hill

SCIENTIFIC PROGRAM Hongkai Ji* and Yang Ning, Johns Hopkins University 4:35 Up-front vs. Sequential Randomizations for Bloomberg School of Public Health Inference on Adaptive Treatment Strategies 4:10 Bayesian Hierarchical Functional Models for Abdus S. Wahed* and Jin.H.Ko, University High-dimensional Genomics data of Pittsburgh Veera Baladandayuthapani*, Jeffrey S. Morris 5:00 Inference for Dynamic Treatment Regimes and Yuan Ji, University of Texas MD Anderson Eric B. Laber*, North Carolina State University; Cancer Center Daniel J. Lizotte, University of Waterloo; Min Qian, 4:35 A Bayesian Graphical Model for ChIP-Seq Data Columbia University and Susan A. Murphy, University on Histone Modifications of Michigan Peter Mueller*, University of Texas at Austin; 5:25 Floor Discussion Riten Mitra, Shoudan Liang, Lu Yue and Yuan Ji, University of Texas MD Anderson Cancer Center 49. Challenging Issues in Functional 5:00 A Bayesian Network Analysis for Single-Cell Connectivity Analysis Mass Cytometry Data Sponsor: ASA Statistics in Neuroimaging Riten Mitra and Yuan Ji*, University of Texas Organizer: Hongtu Zhu, University of North Carolina at MD Anderson Cancer Center and Peter Mueller, Chapel Hill University of Texas at Austin Chair: Hernando Ombao, University of California at Irvine 5:25 Floor Discussion 3:45 Persistent Homological Network Modeling 47. Tweedie Award via Graph Filtration Sponsor: IMS Moo K. Chung*, University of Wisconsin-Madison Organizer: Yi Li, University of Michigan 4:10 Predicting Neurological Disorders using Chair: Yi Li, University of Michigan Functional and Structural Brain Imaging Data Brian S. Caffo*, Ciprian Crainiceanu, Han Liu, 3:45 Statistical Learning with High-dimensional Data Ani Eloyan, John Muschelli, Fang Han and Tuo Zhao, Hui Zou*, University of Minnesota Johns Hopkins University 4:15 Adaptive Estimation of Large Covariance 4:35 Functional Connectivity through Color Matrices Independent Component Analysis Tony Cai*, University of Pennsylvania and Haipeng Shen*, University of North Carolina at Ming Yuan, Georgia Institute of Technology Chapel Hill 4:45 Discussant: Peter Hall, University of 5:00 Spatial and Adaptive Models for Brain California-Davis and University of Melbourne Functional Connectivity 5:00 Floor Discussion Hongtu Zhu*, University of North Carolina at Chapel Hill and Japing Wang, Princeton University 5:25 Floor Discussion

38 ENAR 2012 SPRING MEETING APRIL 1–4 50. Recent Developments in Subgroup 52. TOPIC CONTRIBUTED PAPERS: Analysis in Randomized Clinical Trials New Methods and Theory in Sponsor: ASA Biopharmaceutical Section Functional/Longitudinal Data Analysis Organizer: Mohammed Alosh, U.S. Food and Drug Sponsor: ENAR Administration Organizer: Yehua Li, University of Georgia Chair: Mohammed Alosh, U.S. Food and Drug Administration Chair: Yehua Li, University of Georgia

3:45 Key Statistical Considerations for Clinical Trials 3:45 Spline Confidence Bands for Functional with Tailoring Objectives Derivatives Alex Dmitrienko*, Quintiles and Brian Millen, Guanqun Cao*, Michigan State University; Eli Lilly and Company Jing Wang, University of Illinois at Chicago; 4:15 Predictive Analysis of Clinical Trials Li Wang, University of Georgia and David Todem, Richard M. Simon*, National Cancer Institute, Michigan State University National Institutes of Health 4:05 Generalized Functional Linear Regression Xiao Wang, Purdue University and Pang Du*,

SCIENTIFIC PROGRAM 4:45 Multiplicity Considerations for Hypotheses Testing for a Targeted Subgroup Trial Design Virginia Tech Mohammad F. Huque* and Mohammed Alosh, 4:25 Regularized Smoothing in Functional U.S. Food and Drug Administration Linear Models 5:15 Discussant: Gary Koch, University of North Toshiya Hoshikawa* and Tailen Hsing, Carolina-Chapel Hill University of Michigan 4:45 Simultaneous Variable Selection and 51. Recent Advances in Methodology Estimation in Semiparametric Modeling of Longitudinal / Clustered Data for the Analysis Of Failure Time Data Shujie Ma, University of California-Riverside; Sponsor: ENAR Qiongxia Song, University of Texas at Dallas and Organizer: Doug Schaubel, University of Michigan Lily Wang*, University of Georgia Chair: Doug Schaubel, University of Michigan 5:05 Robust Regularized Singular Value Decomposition for Two Way Functional Data 3:45 Marginal Additive Hazards Model for Case- Lingsong Zhang*, Purdue University; Cohort Studies with Multiple Disease Outcomes Haipeng Shen, University of North Carolina at Chapel Sangwook Kang, University of Connecticut; Hill and Jianhua Huang, Texas A&M University Jianwen Cai* and Lloyd Chambless, University of 5:25 Floor Discussion North Carolina at Chapel Hill 4:10 Statistical Methods for Assessing Urgency and Transplant Benefit in the Presence of Dependent 53. TOPIC CONTRIBUTED PAPERS: Censoring Multivariate Methods in High Dimensional Data Susan Murray* and Fang Xiang, University of Michigan Sponsor: ENAR Organizer: Abdus Sattar, Case Western Reserve University 4:35 Semiparametrically Efficient Treatment Effect Chair: Abdus Sattar, Case Western Reserve University Estimation in the Analysis of Recurrent Events Adin-Cristian Andrei*, Northwestern University 5:00 Estimating Treatment Effects from a 3:45 A Calibrated Multiclass Extension of AdaBoost Randomized Clinical Trial in the Presence Daniel B. Rubin*, U.S. Food and Drug Administration of Post-study Treatment 4:05 Predicting Mortality in an Elderly Population Min Zhang*, University of Michigan and using Machine Learning Yanping Wang, Eli Lilly and Company Sherri Rose*, Johns Hopkins Bloomberg School 5:25 Floor Discussion of Public Health 4:25 Efficient Multi-Marker Tests for Association in Case-Control Studies Margaret A. Taub*, Johns Hopkins University; Holger Schwender, TU Dortmund University, Dortmund, Germany; Ingo Ruczinski and Thomas A. Louis, Johns Hopkins University

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

4:45 Estimation of a Non-parametric Variable 5:00 A Systematic Selection Method for the Importance Measure of a Continuous Exposure Development of Cancer Staging Systems Antoine Chambaz*, Université Paris Descartes Yunzhi Lin* and Richard J. Chappell, University and CNRS, Pierre Neuvial, Université d’Evry Val of Wisconsin-Madison and Mithat Gönen, d’Essonne and Mark J. van der Laan, University Memorial Sloan-Kettering Cancer Center of California, Berkeley 5:15 Floor Discussion 5:05 Targeted Maximum Likelihood Estimation: Assessing Causal Effects using High- 55. CONTRIBUTED PAPERS: Dimensional Longitudinal Data Structures Marco Carone* and Mark J. van der Laan, Clustered/Repeated Measures Survival Analysis University of California, Berkeley Sponsor: ENAR Chair: Xuelin Huang, University of Texas MD Anderson 5:25 Floor Discussion Cancer Center

54. CONTRIBUTED PAPERS: 3:45 Testing for Monotone Time Trend in Recurrent Bayes and Other Approaches to Variable Event Processes and Model Selection Candemir Cigsar*, Women’s College Reserach Sponsor: ENAR Institute Princess Margaret Hospital Chair: Xin Huang, Fred Hutchinson Cancer Research Center 4:05 Contrasting Group-specific Cumulative Mean Associated with Marked Recurrent Events in the 3:45 Determining Associations Among Environmental Presence of a Terminating Event Chemicals, Nutrition and Health Outcomes Yu Ma* and Douglas E. Schaubel, University Caroline Carr*, Chris Gennings and Roy Sabo, of Michigan Virginia Commonwealth University and Pam Factor- 4:25 Alternating Event Processes during Lifetimes: Litvak, Columbia University Population Dynamics and Statistical Inference 4:00 Bayes Variable Selection in Semiparametric n Russell T. Shinohara* and Mei-Cheng Wang, Linear Models Johns Hopkins University n Suprateek Kundu*, University of North Carolina at 4:45 Semiparametric Probit Model for Clustered Chapel Hill and David B. Dunson, Duke University Interval-Censored Data with Unknown 4:15 Sure Screening for Estimating Equations in Distribution of Random Effects Ultra-High Dimensions Haifeng Wu* and Lianming Wang, University n Sihai D. Zhao*, Harvard University of South Carolina 4:30 Estimating Link Function Parameters in Robust 5:05 A Flexible Copula Model for Bivariate Bayesian Binary Regression Survival Data Vivekananda Roy*, Iowa State University Zhen Chen*, David Oakes, Ollivier Hyrien and Changyong Feng, University of Rochester 4:45 Calibrated Bayes Factors for Model Comparison Medical Center Xinyi Xu*, Pingbo Lu, Steven MacEachern and Ruoxi Xu, The Ohio State University 5:25 Floor Discussion

40 ENAR 2012 SPRING MEETING APRIL 1–4 56. CONTRIBUTED PAPERS: 57. CONTRIBUTED PAPERS: Genomics Health Services/Health Policy Sponsor: ENAR Sponsor: ENAR Chair: Hulin Wu, University of Rochester Chair: Yulei He, Harvard Medical School

3:45 The Practical Effect of Batch on Prediction 3:45 Identifying Individual Changes in Performance Hilary S. Parker* and Jeffery T. Leek, Johns Hopkins with Composite Quality Indicators while School of Public Health Accounting for Regression-to-the-Mean 4:00 Identifying and Correcting Sample Mix-ups Byron Gajewski* and Nancy Dunton, in High-Dimensional Data University of Kansas Karl W. Broman*, Mark P. Keller and Aimee T. 4:00 Alcohol Outlets and Violence in the City Broman, University of Wisconsin-Madison; of Philadelphia: The Role of Land Use Danielle M. Greenawalt, Merck & Co., Inc.; Tony H. Grubesic, Loni Philip Tabb and Dominique Christina Kendziorski, University of Wisconsin- Williams*, Drexel University and William Pridemore, Madison; Eric E. Schadt, Pacific Biosciences, Indiana University-Bloomington SCIENTIFIC PROGRAM Saunak Sen, University of California, San Francisco; 4:15 Calibrated Sensitivity Analysis for the Brian S. Yandell and Alan D. Attie, University of Instrumental Variables Method for Wisconsin-Madison Observational Studies 4:15 Detecting Differential Binding of Transcription Jesse Yenchih Hsu*, Scott A. Lorch and Factors with ChIP-seq Dylan S. Small, University of Pennsylvania Kun Liang* and Sunduz Keles, University of 4:30 A Research Agenda: Does Geocoding Positional Wisconsin-Madison Error Matter in Health GIS Studies? 4:30 Applying Whole Genomic Prediction Geoffrey M. Jacquez*, BioMedware across Populations for Predictive and 4:45 Methodology for Scoring the EQ-5D Prognostic Purposes Eleanor M. Pullenayegum* and Feng Xie, Robert Makowsky*, Kirk Yancy B. Williams, McMaster University U.S. Food and Drug Administration and Gustavo de los Campos, University of Alabama at Birmingham 5:00 Estimating 95% Confidence Interval for Percentile Rank – Using Bootstrap – 4:45 Segmenting the Human Genome Based on Application: RSMR & RSRR Mutation Rates Yahya A. Daoud*, Yumi Y. Sembongi, Monica Anand, Prabhani Kuruppumullage Don*, Guruprasad Dunlei Cheng and Edward B. De Vol, Baylor Heath Ananda, Francesca Chiaromonte and Kateryna Care System D. Makova, Pennsylvania State University 5:15 Optimization and Simulation of an Evolving 5:00 Identifying Protein Binding Sites from Genomic Kidney Paired Donation (KPD) Program ChIP-seq Data Using Reversible Jump MCMC n Yijiang J. Li*, Peter X. K. Song, Yan Zhou and Rasika V. Jayatillake* and Nak-Kyeong Kim, Alan B. Leichtman, University of Michigan; Old Dominion University Michael A. Rees, University of Toledo Medical Center 5:15 Change-point Analysis of Paired Allele-specific and John D. Kalbfleisch, University of Michigan Copy Number Variation Data Yinglei Lai*, The George Washington University

41 Preliminary Program Tuesday, April 3 60. The Analysis of Social Network Data in Public Health 8:30 – 10:15 am Sponsor: ASA Section on Statistical Learning and Data Mining Organizers: Debashis Ghosh, Penn State University 58. Towards Omics-Based Predictors Chair: Yeying Zhu, Penn State University

for Patient Management Sponsor: ASA Biometrics Section 8:30 Network Based Methods for Accessing Organizer: Kevin Dobbin, University of Georgia Hard-to-Reach Groups Chair: Kevin Dobbin, University of Georgia Tyler H. McCormick*, University of Washington and Tian Zheng, Columbia University 9:00 Using Retrospective Sampling to Study Factors 8:30 Validating Clinical Performance of Predictors Affecting Relationships in Large Longitudinal Michael L. LeBlanc*, Fred Hutchinson Cancer Social Networks Research Center A James O’Malley* and Sudeshna Paul, 9:00 A Regulatory Perspective on Omics-Based Harvard Medical School SCIENTIFIC PROGRAM Predictors 9:30 Point Process Modeling for Directed Interaction Gene A. Pennello*, U.S. Food and Drug Networks Administration Patrick O. Perry*, New York University and Patrick 9:30 Statistical Issues in the Design of Clinical Trials J. Wolfe, Harvard University to Establish the Utility of Biomarker-based Tests 10:00 Discussant: Melanie Wall, Columbia University for Guiding Therapy Decisions Lisa M. McShane*, National Cancer Institute, National Institutes of Health 61. Novel Methodological Issues in Analyzing and 10:00 Discussant: Tracy Lively, National Cancer Designing Longitudinal Biomarker Studies Institute Sponsor: ASA Biopharmaceutical Section Organizers: Paul Albert and Enrique Schisterman, National 59. Functional Data Analysis Institutes of Health Chair: Enrique Schisterman, National Institutes of Health Sponsor: IMS Organizer: Hans-Georg Muller, University of California, Davis Chair: Hans-Georg Muller, University of California, Davis 8:30 Outcome Dependent Sampling for Longitudinal Binary Response Data Based on a Time-Varying Auxiliary Variable 8:30 Methodology and Theory for Partial Least Jonathan S. Schildcrout*, Vanderbilt University; Squares Applied to Functional Data Sunni L. Mumford and Zhen Chen, Eunice Kennedy Peter Hall*, The University of Melbourne and the Shriver National Institute of Child Health and Human University of California, Davis and Aurore Delaigle, Development, National Institutes of Health; Patrick The University of Melbourne J. Heagerty, University of Washington and Paul J. 8:55 Time-Dynamic Functional Additive Model Rathouz, University of Wisconsin Jane-Ling Wang* and Xiaoke Zhang, University 8:55 A Principal Interactions Analysis Framework of California at Davis and Byeong Park, Seoul for Repeated Measures Data on Quantitative National University Traits: Application to Longitudinal Studies of 9:20 Continuously Additive Models for Functional Gene-Environment Interactions Regression Bhramar Mukherjee* and Yi-An Ko, Hans-Georg Mueller, University of California at University of Michigan Davis; Yichao Wu*, North Carolina State University 9:20 Pooling Designs for Outcomes Under a Gaussian and Fang Yao, University of Toronto Random Effects Model 9:45 Movelets: A Dictionary of Movement Yaakov Malinovsky*, University of Maryland, Bai Jiawei, Jeffrey Goldsmith and Baltimore County; Paul S. Albert and Enrique Ciprian M. Crainiceanu*, Johns Hopkins University F. Schisterman, Eunice Kennedy Shriver National 10:10 Floor Discussion Institute of Child Health and Human Development, National Institutes of Health

42 ENAR 2012 SPRING MEETING APRIL 1–4 9:45 A Bayesian Order Restricted Model for 9:30 Determining which Subpopulations Benefit from Hormonal Dynamics During Menstrual Cycles a Vaccine, Using Adaptive Designs of Healthy Women Michael Rosenblum*, Johns Hopkins Bloomberg Anindya Roy*, University of Maryland Baltimore School of Public Health County; Michelle Danaher, Eunice Kennedy Shriver 10:00 Floor Discussion National Institute of Child Health and Human Development, National Institutes of Health and University of Maryland Baltimore County; Zhen 64. TOPIC CONTRIBUTED PAPERS: Chen, Sunni Mumford and Enrique Schiesterman, Mixing: Inferences Using Frequentist and Eunice Kennedy Shriver National Institute of Child Bayesian Methods and for Mixed Discrete Health and Human Development, National Institutes and Continuous Data of Health Sponsor: ENAR 10:10 Discussant: Paul Albert, National Institutes Organizer: Gang Zheng, National Heart, Lung, and Blood of Health Institute, National Institutes of Health Chair: Gang Zheng, National Heart, Lung, and Blood Institute,

SCIENTIFIC PROGRAM 62. Advances in Cancer Risk Prediction Models National Institutes of Health Sponsor: ENAR Organizer: Donna Ankerst, University of Munich 8:30 Flexible Random Effects Copula Models for Chair: Donna Ankerst, University of Munich Clustered Mixed Outcomes: Application in Developmental Toxicology 8:30 Model Validation and Updating Alexander R. de Leon*, University of Calgary Ewout W. Steyerberg*, Erasmus University Medical 8:50 Joint Analysis of Binary and Quantitative Center, Rotterdam, the Netherlands Traits with Data Sharing and Outcome- 8:55 Dynamic Prediction: Updating Medical Dependent Sampling Prediction Models in Real Time Using Routinely Jungnam Joo*, National Cancer Center, Korea Collected Clinical Data (Or: Why Can’t 9:10 Bayes Factor Based on a Maximum Statistic Nomograms be More Like Netflix?) for Case-Control Genetic Association Studies Andrew J. Vickers*, Memorial Sloan-Kettering Linglu Wang*, The George Washington University Cancer Center 9:30 Analysis of Case-Control Qualitative and 9:20 Deploying Statistical Prediction Models Quantitative Trait Data for Genetic Association Michael W. Kattan*, Cleveland Clinic Minjung Kwak*, National Heart Lung and Blood 9:45 On Joint Risk Prediction Institute, National Institutes of Health Ruth Pfeiffer*, National Cancer Institute, National 9:50 Hybrid Inference for Association Studies Institutes of Health Qizhai Li*, Academy of Mathematics and Systems 10:10 Floor Discussion Science, Chinese Academy of Sciences; Jing Qin, National Institute of Allergy and Infectious Diseases, National Institutes of Health and Ao Yuan, 63. Adaptive Design in Vaccine Trials Howard University Sponsor: ASA Biometrics Section 10:10 Floor Discussion Organizers: Zhi Wen and Estelle Russek-Cohen, U.S. Food and Drug Administration Chair: Zhi Wen, U.S. Food and Drug Administration 65. CONTRIBUTED PAPERS: Bayesian Methods for Longitudinal 8:30 A 2-Stage Adaptive Design for Assessing and/or Survival Data Vaccine Efficacy with Uncertain Incidence Rate Sponsor: ENAR Ivan SF Chan*, Merck Research Laboratories; Chair: Madan Gopal Kundu, Indiana University Xiaoming Li, Gilead Sciences and Keaven M. Purdue University, Indianapolis Anderson, Merck Research Laboratories 9:00 Adaptive Designs for Vaccine Clinical Trials 8:30 Posterior Predictive Model Assessment for Ghideon Ghebregiorgis*, U.S. Food and Incomplete Longitudinal Data Drug Administration Arkendu Chatterjee* and Michael Daniels, University of Florida

43 Preliminary Program n = Student Award Winner | * = Presenter 8:45 A Novel Bayesian Approach for Analyzing 9:00 Estimating Multiple Treatments Effects Using Interval-Censored Failure Time Data Under the Two-Phase Regression Estimators Proportional Hazards Model Cindy Yu, Iowa State University; Jason Legg, Xiaoyan Lin, Bo Cai* and Lianming Wang, University Amgen Inc. and Bin Liu*, Iowa State University of South Carolina and Zhigang Zhang, Memorial Sloan-Kettering Cancer Center 9:15 A Semi-parametric Approach to Select Optimal 9:00 Semiparametric Bayesian Survival Analysis Sampling Schedules for Measuring the Mean Using Models with Log-Linear Median Profile and Variability in Longitudinal Studies n Jianchang Lin* and Debajyoti Sinha, Florida State Meihua Wu* and Brisa N. Sánchez, Trivellore E. University; Stuart Lipsitz, Brigham and Women’s Raghunathan and Ana V. Diez-Roux, University Hospital and Adriano Polpo, University of São Paulo of Michigan 9:15 A Model-based Approach to Limit of Detection 9:30 An Improved Paired Availability Design for in Studying Environmental Chemical Exposures Historical Controls and Time to Pregnancy Stuart G. Baker*, National Cancer Institute, Sungduk Kim*, Zhen Chen, Enrique F. Schisterman, National Institutes of Health and Karen S. Lindeman, SCIENTIFIC PROGRAM Neil Perkins, Rajeshwari Sundaram and Germaine Johns Hopkins University M. Buck Louis, Eunice Kennedy Shriver National 9:45 Bias Correction and Likelihood Based Inference Institute of Child Health and Human Development, Under Model Misspecification National Institutes of Health n Yang Ning*, Johns Hopkins University and 9:30 A Semiparametric Bayesian Approach for Joint Kung-Yee Liang, National Yang-Ming University Modeling of Longitudinal Trait and Event Time: 10:00 Floor Discussion Application to Soybean Data Kiranmoy Das*, Temple University 67. CONTRIBUTED PAPERS: 9:45 Hierarchical Bayesian Approach for Analysis of Longitudinal Count Data with Overdispersion High Dimensional Data Parameters: A Simulation Study Sponsor: ENAR Mehreteab F. Aregay*, University of Leuven, Belgium; Chair: Eileen Liao, University of California at Los Angeles Geert Molenberghs, I-BioStat Belgium and Ziv Shkedy, Hasselt University, Belgium 8:30 Sparse Meta-Analysis With Applications 10:00 Bayesian Modeling Dependence in to High-Dimensional Data Longitudinal Data via Partial Autocorrelations n Qianchuan He*, University of North Carolina at and Marginal Variances Chapel Hill; Helen Hao Zhang, North Carolina State n Yanpin Wang* and Michael Daniels, University; Danyu Lin and Christy L. Avery, University University of Florida of North Carolina at Chapel Hill 8:50 Universal Probabilistic Dependency Discovery: 66. CONTRIBUTED PAPERS: Theory and Application Complex Study Designs and Bias Corrections Hesen Peng*, Emory University; Yun Bai, Philadelphia College of Osteopathic Medicine Sponsor: ENAR and Tianwei Yu, Emory University Chair: Yvonne Zubovic, Indiana University Purdue University Fort Wayne 9:10 Investigating Pyrosequence Data from Ecological Applications Karen Keating*, Gary L. Gadbury, Ari Jumpponen 8:30 Two-Stage Designs for Adaptive Comparative and Karen A. Garrett, Kansas State University Effectiveness Trials 9:30 Exploration of Reactant-Product Lipid Pairs in John A. Kairalla*, University of Florida; Mutant-Wild Type Lipidomics Experiments Mitchell A. Thomann and Christopher S. Coffey, Lianqing Zheng* and Gary L. Gadbury, Kansas State University of Iowa and Keith E. Muller, University; Jyoti Shah, University of North Texas University of Florida and Ruth Welti, Kansas State University 8:45 More Efficient Estimators for Case-Cohort 9:50 Factor Analysis Regression for Predictive Studies Modeling with High Dimensional Data SoYoung Kim* and Jianwen Cai, University of Netsanet T. Imam*, Randy L. Carter and Russell North Carolina at Chapel Hill W. Bessette, State University of New York at Buffalo 10:10 Floor Discussion

44 ENAR 2012 SPRING MEETING APRIL 1–4 SCIENTIFIC PROGRAM

68. CONTRIBUTED PAPERS: 69. CONTRIBUTED PAPERS: High Dimensional Data: Machine Learning, Variable and Model Selection Methods Multivariate Methods and Computational Sponsor: ENAR Methods Chair: Yang Feng, Columbia University Sponsor: ENAR Chair: Frank B Yoon, Mathematica Policy Research, Inc. 8:30 Simultaneous Rank Determination and Variable Selection in Multivariate Reduced-rank Regression 8:30 Majorization Minimization by Coordinate Kun Chen*, Kansas State University Descent for Concave Penalized Generalized and Kung-Sik Chan, University of Iowa Linear Models Dingfeng Jiang* and Jian Huang, University of Iowa 8:45 Variable Selection for Fixed and Random Effects in Multilevel Models When Missing 8:45 Reducing Dimension to Improve Computational Data is Present Efficiency in High Dimensional Studies Miguel Marino*, Harvard University Kevin K. Dobbin*, University of Georgia and Yi Li, University of Michigan 9:00 Additive Kernel Machine Regression Based 9:00 Variable Selection in Parametric and Analysis of Genomic Data Non-Parametric Regression Jennifer Clark* and Mike Wu, University of Trang T. Duong*, The University of West Georgia North Carolina at Chapel Hill 9:15 Penalized Variable Selection with 9:15 Variable Selection for High-Dimensional U-estimates Multivariate Outcomes with Application Xiao Song*, University of Georgia to Genetic Pathway/Network Analysis and Shuangge Ma, Yale University School n Tamar Sofer*, Harvard School of Public Health; of Public Health Lee Dicker, Rutgers University and Xihong Lin, Harvard School of Public Health 9:30 Variable Selection with Iterated Penalization for Semiparametric Regression Models 9:30 Enhancements of Sparse Clustering with Ying Dai* and Shuangge Ma, Yale University School Resampling of Public Health n Wenzhu Bi*, George C. Tseng, Julie C. Price and Lisa A. Weissfeld, University of Pittsburgh 9:45 Sparsity Recovery from Multivariate Smoothing Functions Using the Nonnegative Garrote Method 9:45 Generalized Reduced Rank Regression for Zaili Fang*, Inyoung Kim and Patrick Schaumont, Multivariate Response Virginia Polytechnic Institute and State University Zakaria S. Khondker*, University of North Carolina at Chapel Hill and PAREXEL International; 10:00 Floor Discussion Hongtu Zhu and Joseph G. Ibrahim, University of North Carolina at Chapel Hill 10:00 Floor Discussion

45 Preliminary Program n = Student Award Winner | * = Presenter Tuesday, April 3 (continued) 72. JABES Special Session on Climate Change and Health 10:15 – 10:30 am | Break Sponsor: ENAR Grand Ballroom Pre-function Area Organizer: Montserrat Fuentes, North Carolina State University Chair: Bo Li, Purdue University 10:15 am – 12:15 pm 1:45 Estimating the Health Impact of Climate Change 70. Presidential Invited Address with Calibrate Climate Model Output Ballroom Montse Fuentes, North Carolina State University Sponsor: ENAR 2:10 Flexible Distributed Lag Models using Organizer/Chair: Karen Bandeen-Roche, Johns Hopkins Random Functions with Application to Bloomberg School of Public Health Estimating Mortality Displacement from Heat-Related Deaths 10:30 Introduction Roger Peng, Johns Hopkins University 2:35 A Compartmental Model for Meningitis: SCIENTIFIC PROGRAM 10:35 Distinguished Student Paper Awards Separating Transmission from Climate 10:45 Engaging, Inspiring, and Training the Next Effects on Disease Generation: Past Successes, Future Challenges Roman Jandarov, Penn State University and Opportunities Marie Davidian, Department of Statistics, 3:00 Bivariate Downscaling with Asynchronoous North Carolina State University Measurements Yunwen Yang*, Drexel University and Xuming He, University of Michigan 1:45 – 3:30 pm 3:25 Floor Discussion 71. Recent Advances in Statistical Methods for Diagnostic Medicine 73. Grant Funding Opportunities for Biostatisticians Sponsor: ASA Section for Teaching in the Health Sciences Sponsor: ENAR Organizer: Michelle Dunn, National Cancer Institute, National Organizer: Haitao Chu, University of Minnesota Institutes of Health Chair: Joseph Koopmeiers, University of Minnesota Chair: Angela Marriotto, National Cancer Institute

1:45 Semiparametric Estimation of the Covariate- 1:45 New Opportunities for Research Funding at NSF Specific ROC Curve in Presence of Ignorable and Non-Ignorable Verification Bias Haiyan Cai*, National Science Foundation Xiao-Hua Andrew Zhou* and Danping Liu, 2:10 Overview of NIH Application Processes University of Washington Michelle C. Dunn*, National Cancer Institute, 2:15 Estimation and Design for Logistic Regression National Institutes of Health Under an Imperfect Population Identifier 2:35 Peer Review at the National Institutes of Health Paul S. Albert*, Aiyi Liu and Tonia Nansel, Tomas Drgon*, Center for Scientific Review, National Eunice Kennedy Shriver National Institute Institutes of Health of Child Health and Human Development, 3:00 NIH Statistical Methodological Grant Application National Institutes of Health and Review 2:45 Designing Studies to Evaluate Biomarkers Xihong Lin*, Harvard School of Public Health for Selecting Patient Treatment 3:25 Floor Discussion Holly Janes*, Margaret Pepe, Ying Huang and Marshall Brown, Fred Hutchinson Cancer 74. Causal Mediation Analysis: Definitions, Research Center Identification, Inference and Controversies 3:15 Floor Discussion Sponsor: ASA Biometrics Section Organizer: Eric Tchetgen Tchetgen, Harvard School of Public Health Chair: Ilya Shipster, Harvard School of Public Health

1:45 Alternative Graphical Causal Models and the Identification of Direct Effects Thomas Richardson*, University of Washington and James Robins, Harvard School of Public Health

46 ENAR 2012 SPRING MEETING APRIL 1–4 2:10 Why is Mediation Analysis Not Easy? 2:35 Why are There Multiple Hypothesis Vanessa Didelez*, University of Bristol, UK Testing Combining Rules for Multiply 2:35 Causal Mediation Analysis for Dichotomous and Imputed Data Sets? Time-to-event Outcomes Xiao-Li Meng*, Harvard University and Xianchao Xie, Tyler VanderWeele*, Harvard School of Public Health Two Sigma Investments, LLC 3:00 Semiparametric Theory for Causal Mediation 3:00 Imputing Modes for Missing Data Based on Analysis: Robustness, Efficiency and Sensitivity the Laplace Approximation to the Marginal Eric J. Tchetgen Tchetgen* and Ilya Shpitser, Likelihood Harvard University Myunghee Cho Paik*, Columbia University 3:25 Floor Discussion 3:25 Floor Discussion

75. Advances in Brain Imaging and Signal 77. TOPIC CONTRIBUTED PAPERS: Biomarkers For Behavior Joint Modeling and Its Applications Sponsor: IMS Sponsor: ENAR Organizer: Yangxin Huang, University of South Florida SCIENTIFIC PROGRAM Organizer: Hernando Ombao, University of California at Irvine Chair: Dipak Dey, University of Connecticut Chair: Yangxin Huang, University of South Florida

1:45 How Restful is Resting State fMRI? — 1:45 An Estimation Method of Marginal A Population Functional Change-Point Treatment Effects on Correlated Longitudinal Analysis Investigation and Survival Outcomes John A.D. Aston*, University of Warwick and Qing Pan, George Washington University and Claudia Kirch, Karlsruhe Institute of Technology Grace Y. Yi*, University of Waterloo 2:10 Predicting Disease Status Using a Novel 2:00 A Semiparametric Marginalized Model for Support Vector Classifier for Longitudinal Longitudinal Data with Informative Dropout Neuroimaging Data Mengling Liu*, New York University School of DuBois Bowman* and Shuo Chen, Emory University Medicine and Wenbin Lu, North Carolina State University 2:35 Developing fMRI-based Biomarkers for Pain Martin A. Lindquist*, Columbia University 2:15 Bayesian Semiparametric Nonlinear Mixed- Effects Joint Models for Data with Skewness, 3:00 Novel Measures of Dependence in Time Series Missing Responses and Measurement Errors as Biomarkers in Covariates Hernando Ombao* and Mark Fiecas, Brown Yangxin Huang* and Getachew A. Dagne, University and Cristina Gorrostieta, University University of South Florida of California at Irvine 2:30 Bayesian Hybrid Inference for Longitudinal and 3:25 Floor Discussion Survival Joint Models Gang Han*, Moffitt Cancer Center & Research 76. Recent Development in Imputation Methods and Institute; Yangxin Huang, University of South Florida Their Applications and Catherine Phelan, Moffitt Cancer Center & Sponsor: ASA Biometrics Section Research Institute Organizer: Qixuan Chen, Columbia University 2:45 Joint Spatial Modeling of Recurrent Infection Chair: Sijian Wang, University of Wisconsin and Growth in Forest Ecology Farouk S. Nathoo*, University of Victoria 1:45 A Multiple Imputation Approach to Misreporting 3:00 Bayesian Joint Model of Multivariate Ordinal and Mismeasurement from Multiple Sources Data with Competing Risks Survival Time Yulei He*, Mary Beth Landrum and Alan Zaslavsky, Satrajit Roychoudhury*, Novartis Pharmaceuticals Harvard Medical School Corporation 2:10 Doubly Robust Nonparametric Multiple 3:15 A Joint Latent Class Model of Survival and Imputation for Ignorable Missing Data Longitudinal Data Qi Long*, Emory University; Chiu-Hsieh Hsu, Yue Liu*, Lei Liu and Jianhui Zhou, University of Arizona and Yisheng Li, University University of Virginia of Texas MD Anderson Cancer Center

47 Preliminary Program n = Student Award Winner | * = Presenter 78. CONTRIBUTED PAPERS: 79. CONTRIBUTED PAPERS: Bayesian Methods I Correlated / Longitudinal Data Sponsor: ENAR Sponsor: ENAR Chair: Jung-Ying Tzeng, North Carolina State University Chair: Hongjie Zhu, Duke University

1:45 Bayesian Kappa Regression 1:45 A Semiparametric Latent Variable Elande Baro*, University of Maryland Baltimore Transformation Approach for Modeling Multiple County; Zhen Chen, Sung Duk Kim and Bo Zhang, Outcomes of Mixed Types Eunice Kennedy Shriver National Institute of Anna Snavely*, Harvard University and Yi Li, Child Health and Human Development, Harvard University and University of Michigan National Institutes of Health 2:00 Analysis of Asynchronous Longitudinal 2:00 Sparse Data in Safety Data Analyses Observations Xiaowen Hu*, Southern Methodist University; Hongyuan Cao*, University of Chicago; Donglin Zeng Luyan Dai and Tom Tang, Boehringer Ingelheim and Jason P. Fine, University of North Carolina at Pharmaceutivals Chapel Hill SCIENTIFIC PROGRAM 2:15 Minkowski-Weyl Priors for Models with 2:15 Hierarchical Multiple Informant Models Parameter Constraints: An Analysis of the Jonggyu Baek* and Brisa N. Sanchez, University BioCycle Study of Michigan and Emma V. Sanchez-Vaznaugh, n Michelle R. Danaher*, University of Maryland, San Francisco State University Baltimore County and Eunice Kennedy Shriver 2:30 Measures of Discrimination for Latent National Institute of Child Health and Human Group-Based Trajectory Models Development, National Institutes of Health; Nilesh Shah* and Chung-Chou Chang, Anindya Roy, University of Maryland Baltimore University of Pittsburgh County; Zhen Chen, Sunni L. Mumford and Enrique 2:45 Challenges in Estimation of Genetic Effects F. Schisterman, Eunice Kennedy Shriver National from Family-based Case-Control Data Institute of Child Health and Human Development, Roula Tsonaka* and National Institutes of Health Jeanine J. Houwing-Duistermaat, 2:30 A Predictive Bayesian Approach to the Design Leiden University Medical Center and Analysis of Bridging Studies 3:00 The Analysis of Correlated Non-Gaussian A. Lawrence Gould*, Jin Tian, Li Xin Zhang and Outcomes from Clusters of Size Two: William W. B. Wang, Merck Research Laboratories Non-Multilevel-Based Alternatives? 2:45 Bayesian Semiparametric Regression for Tom Loeys*, Ghent University and Evaluating Pathway Effects on Zero Inflated Geert Molenberghs, University of Leuven Clinical Outcomes 3:15 Conditional Inference Functions for Lulu Cheng* and Inyoung Kim, Virginia Tech Mixed-Effects Models with Unspecified 3:00 Bayesian Sampling-Based Methods for Inverse Random-Effects Distribution Prediction from Longitudinal CD4 Profile Data Peng Wang*, Bowling Green State University; Miranda L. Lynch* and Victor DeGruttola, Guai-feng Tsai, U.S. Food and Drug Administration Harvard School of Public Health and Annie Qu, University of Illinois at 3:15 Robust Bayesian Inference for Longitudinal Urbana-Champaign Multivariate Data with Normal/Independent Distributions 80. CONTRIBUTED PAPERS: Sheng Luo* and Junsheng Ma, University of Texas Imaging at Houston; Karl D. Kieburtz, University of Rochester Sponsor: ENAR Medical Center and Barbara C. Tilley, University of Chair: James O’Malley, Harvard Medical School Texas at Houston

1:45 A Bayesian Hierarchical Framework for Modeling Brain Connectivity of Neuroimaging Data Shuo Chen*, F. DuBois Bowman and Lijun Zhang, Emory University

48 ENAR 2012 SPRING MEETING APRIL 1–4 2:00 Simple Modifications of a t-test for Improved 3:00 Building a New Control Chart for Biosurveillance Power with FDR Control in fMRI Yiying Fan*, Cleveland State University Shuzhen Li, Medtronic, Inc.; Lynn E. Eberly*, 3:15 Robust Estimation of Mixed Effects Model for University of Minnesota and Brian S. Caffo, Finite Normal Mixtures Johns Hopkins University Tingting Zhan*, Temple University; Inna Chervoneva, 2:15 Adaptive Thresholding for fMRI Data Thomas Jefferson University and Boris Iglewicz, Joke Durnez* and Beatrijs Moerkerke, Temple University Ghent University, Belgium 2:30 Application of Cluster Analysis in Dementia 82. CONTRIBUTED PAPERS: Research Survival Analysis and Risk Prediction Jay Mandrekar*, Mayo Clinic Sponsor: ENAR 2:45 Three-dimensional Recognition of Stem Chair: Hilary Parker, Johns Hopkins School of Public Health Cells Using an Entropy Based Nonparametric Hypothesis Testing Approach 1:45 Partly Conditional Estimation of the Effect of Ran Liu* and Dipak K. Dey, University of Connecticut SCIENTIFIC PROGRAM a Time-Dependent Factor in the Presence of 3:00 A Bayesian Approach to Determining Functional Dependent Censoring Connectivity in the Human Brain with n Qi Gong* and Douglas E. Schaubel, Incorporation of Structural Connectivity University of Michigan Wenqiong Xue* and F. DuBois Bowman, 2:00 Regression Analysis of Clustered Emory University Interval-Censored Failure Time Data with 3:15 Floor Discussion the Additive Hazards Model Junlong Li*, University of Missouri; Chunjie Wang, 81. CONTRIBUTED PAPERS: Mathematics School and Institute of Jilin University Longitudinal and Time Series Data Analysis and Jianguo Sun, University of Missouri Sponsor: ENAR 2:15 Landmark Risk Prediction of Residual Life for Chair: Raymond Hoffman, Medical College of Wisconsin Breast Cancer Survival Layla Parast* and Tianxi Cai, Harvard University 1:45 State-Space Time Series Clustering Using 2:30 Estimating Restricted Mean Job Tenures Discrepancies Based on the Kullback-Leibler for Compensatory Damages in Promotion Information and the Mahalanobis Distance Discrimination Cases: Application to Eric D. Foster* and Joseph E. Cavanaugh, Alexander vs. Milwaukee University of Iowa Qing Pan* and Joseph Gastwirth, George Washington University 2:00 Developmental Trajectories of Marijuana Use from Adolescence to Adulthood: Personality and 2:45 Statistical Methods of Time-Conditional Survival Social Role Outcomes Victoria Gamerman* and Phyllis A. Gimotty, Judith S. Brook, Jung Yeon Lee* and Elaine University of Pennsylvania N. Brown, NYU School of Medicine; Stephen J. 3:00 100 Years On: A New Look at Survivorship Finch, State University of NewYork, Stony Brook on the Titanic and David W. Brook, New York University School Stephen D. Walter*, Hedy Jiang, McMaster of Medicine University and Corinne A. Riddell, McGill University 2:15 Modeling the Evolution of Neurophysiological 3:15 Adjusted Survival Analysis with Inverse Signals Probability Weights in Community-based Mark Joseph A. Fiecas* and Hernando Ombao, Primary Care Practices Brown University Zugui Zhang*, Edward Ewen and Paul Kolm, 2:30 Markov Regression Models for Count Christiana Care Health System Time Series with Excess Zeros: A Partial Likelihood Approach Ming Yang*, Gideon Zamba and Joseph Cavanaugh, University of Iowa 2:45 Semiparametric Approach to a Non-linear Random Effects Quantile Regression Model Mi-Ok Kim* and Rhonda Vandyke, Cincinnati Children’s Hospital Medical Center

49 Preliminary Program n = Student Award Winner | * = Presenter Tuesday, April 3 (continued) 85. Modern Statistical Machine Learning for Complex and High Dimensional Data 3:30 – 3:45 pm | Break Sponsor: ASA Section on Statistical Learning and Data Mining Grand Ballroom Pre-function Area Organizer: Yufeng Liu, University of North Carolina at Chapel Hill 3:45 – 5:30 pm Chair: Yufeng Liu, University of North Carolina at Chapel Hill

83. Statistical Methods and Applications in Rare 3:45 High-Dimensional Pharmacoepidemiology Variant Sequencing Studies David Madigan*, Columbia University Sponsor: ENAR 4:10 HDLSS Discrimination with Adaptive Data Piling Organizers: Xihong Lin, Harvard School of Public Health and Myung Hee Lee, Colorado State University; Michael Wu, University of North Carolina at Chapel Hill Jeongyoun Ahn*, University of Georgia Chair: Xihong Lin, Harvard School of Public Health and Yongho Jeon, Yonsei University 4:35 Likelihood Adaptive Modified Penalty and Its Properties SCIENTIFIC PROGRAM 3:45 Joint Moment Test for Rare Variants Tengfei Li, Fudan University, Yang Feng* Daniel J. Schaid*, Mayo Clinic and Zhiliang Ying, Columbia University 4:10 A Novel Permutation Strategy to Correct for 5:00 Regularized Multiple-Index Model for Group Confounders in Case-Control Studies of Rare Variable Selection Variation Sijian Wang*, University of Wisconsin, Madison Michael P. Epstein*, Richard Duncan, Yunxuan Jiang and Karen N. Conneely, Emory University; Andrew 5:25 Floor Discussion S. Allen, Duke University and Glen A. Satten, Centers for Disease Control and Prevention 86. Statistical Challenges in Reproductive and 4:35 Investigating the Impact of the Rare Spectrum of Variation on Drug Repositioning Environmental Epidemiology and Drug Response Sponsor: ASA Section on Statistics and the Environment Matthew R. Nelson*, GlaxoSmithKline Organizer: Raji Sundaram, National Institute of Child Health and Development, National Institutes of Health 5:00 Kernel Machine Based Testing of Rare Variant Chair: Raji Sundaram, National Institute of Child Health by Environment Interactions and Development, National Institutes of Health Michael C. Wu*, University of North Carolina at Chapel Hill 3:45 5:25 Floor Discussion Conceptual & Methodologic Challenges Underlying the Assessment of Environmental Reproductive and Developmental Toxicants: 84. Causal Inference Methods for HIV Research An Overview Sponsor: ASA Biometrics Section Germaine M. Louis*, National Institute of Child Organizer: Miguel Hernan, Harvard School of Public Health Health and Development, National Institutes Chair: Miguel Hernan, Harvard School of Public Health of Health 4:10 Modeling Time-To-Pregnancy in Terms of 3:45 Practical Applications of Principal Stratification Variability of Menstrual Length in HIV Research Amita Manatunga*, Emory University; Huichao Chen, Bryan E. Shepherd*, Vanderbilt University Harvard University; Limin Peng and Michele Marcus, 4:15 Estimation of Joint Effects of Multiple Emory University Time-Varying Exposures in Infectious Disease 4:35 Analysis of In-Vitro Fertilization Data Research with Multiple Outcomes Using Discrete Stephen R. Cole*, University of North Carolina at Time to Event Analysis Chapel-Hill and Chanelle J. Howe, Brown University Arnab Maity*, North Carolina State University; 4:45 Mediation Analysis for Observational Event Paige Williams, Harvard School of Public Health; Time Data Louise Ryan, Commonwealth Scientific and Jing Zhang and Joseph W. Hogan*, Brown Industrial Research Organisation; Stacey Missmer, University; Catherine Gichunge, Edwin Sang Brent Coull and Russ Hauser, Harvard School of and Abraham Siika, Moi University Public Health 5:15 Discussant: James Robbins, Harvard University

50 ENAR 2012 SPRING MEETING APRIL 1–4 5:00 Bayesian Borrowing of Information Across 4:35 Spatial Uncertainty and Spatial Measures High-Dimensional Exposures and Outcomes of Performance Amy H. Herring*, University of North Carolina Lance Waller*, Emory University at Chapel Hill; David B. Dunson, Duke University 5:00 Visualizing Statistics and Uncertainty Patterns and Andrew F. Olshan, University of North Carolina with Micromaps at Chapel Hill Daniel B. Carr*, George Mason University and Linda 5:25 Floor Discussion W. Pickle, StatNet Consulting LLC 5:25 Floor Discussion 87. Combining Population Data from Multiple Sources 89. TOPIC CONTRIBUTED PAPERS: Sponsor: ASA Survey Research and Methodology Section New Statistical Tools for High Dimensional Organizer: Michael Elliott, University of Michigan Problems Chair: Trivellore Raghunathan, University of Michigan Sponsor ENAR Organizer: Yichao Wu, North Carolina State University

SCIENTIFIC PROGRAM 3:45 Combining Information from Multiple Chair: Yichao Wu, North Carolina State University Complex Surveys Qi Dong*, Trivellore Raghunathan and Michael Elliott, 3:45 Discovering Graphical Granger Causality University of Michigan in Sparse High-dimensional Networks with 4:10 Estimating Effectiveness of Health Care Combing Inherent Grouping Structure Information from Different Surveys George Michailidis* and Sumanta Basu, University of Trivellore Raghunathan and Irina Bondarenko*, Michigan and Ali Shojaie, University of Washington University of Michigan 4:05 Quantile Regression in Ultra-high Dimension 4:35 Longitudinal Analysis of Linked Data: A Case Study Lan Wang*, University of Minnesota; Yichao Wu, Guangyu Zhang*, Jennifer Parker and Nathaniel North Carolina State University and Runze Li, Schenker, National Center for Health Statistics The Pennsylvania State University 5:00 Combining Data from Probability and 4:25 Statistical Tools for Identifying and Predicting Non-probability Surveys Multiple Pathways Michael R. Elliott*, Alexa Resler, Carol Flannagan Joseph S. Verducci*, Samuel Handelman and and Jonathan Rupp, University of Michigan Steven Bamattre, The Ohio State University 5:25 Floor Discussion 4:45 Selecting the Number of Principal Components in Functional Data 88. Spatial Uncertainty in Public Health Problems Yehua Li*, University of Georgia; Naisyin Wang, Sponsor: ASA Section on Statistics and the Environment University of Michigan and Raymond J. Carroll, Organizer: Li Zhu, National Cancer Institute, National Institutes Texas A&M University of Health 5:05 Robust Estimation of Large Gaussian Chair: Li Zhu, National Cancer Institute, National Institutes Graphical Model of Health Peng Tang, Georgia Institute of Technology; Huijing Jiang, IBM T.J. Watson Research Center 3:45 CSpatial Uncertainty in Health Data: Does It and Xiwnei Deng*, Virginia Tech Matter and Why Should I Worry About It? 5:25 Floor Discussion Geoffrey Jacquez*, Biomedware 4:10 Relating Public Health to Environmental Factors: Quantifying Uncertainty when Exposure is Predicted Linda J. Young* and Kenneth K. Lopiano, University of Florida and Carol A. Gotway, U.S. Centers for Disease Control and Prevention

51 Preliminary Program n = Student Award Winner | * = Presenter 90. CONTRIBUTED PAPERS: 4:30 Estimation of the Volume Under the ROC Surface Bayesian Methods II with Three Ordinal Diagnostic Categories Using Sponsor: ENAR Kernel Smoothing Chair: Donna McClish, Virginia Commonwealth University Le Kang* and Lili Tian, University at Buffalo 4:45 A Simple Bayesian Inference of Odds 3:45 A Bayesian Approach for Rank Aggregation Ratiosin Misclassified Binary Data with Ke Deng* and Xuxin Liu, Harvard University; a Validation Study Jiong Du, Peking University and Jun S. Li, Meijuan Li*, U.S. Food and Drug Administration Harvard University 5:00 Soft ROC Curves 4:00 Bayesian Inference for Case-Control Studies Yixin Fang, New York University; Narayanaswamy with Multiple Non-Gold Standard Exposure Balakrishnan, McMaster University and Xin Huang*, Assessments: With an Application in Fred Hutchinson Cancer Research Center Occupational Health 5:15 Evaluating Incomplete Multiple Jing Zhang*, University of Minnesota Imperfect Diagnostic Tests with a Probit 4:15 A Nonparametric Bayesian Model for Latent Class Model SCIENTIFIC PROGRAM Local Clustering Yi Zhang*, University of North Carolina at Chapel Juhee Lee*, University of Texas MD Anderson Hill; Haitao Chu, University of Minnesota and Donglin Cancer Center; Peter Mueller, University of Texas at Zeng, University of North Carolina at Chapel Hill Austin and Yuan Ji, University of Texas MD Anderson Cancer Center 92. CONTRIBUTED PAPERS: 4:30 A Bayesian Characterization for a Weighted Sum Meta-Analysis of Environmental Chemicals Sponsor: ENAR Stephanie M. Pearson* and Roy T. Sabo, Virginia Chair: Brian Neelon, Duke University Commonwealth University 4:45 Estimating Reproductive Inhibition Potency 3:45 Meta-Analysis of Binary Rare Adverse Event in Aquatic Toxicity Testing When Excess Zeros Observed Dulal K. Bhaumik, University of Illinois at Chicago; Anup K. Amatya*, New Mexico State University; Jing Zhang*, A. John Bailer and James T. Oris, Sharon-Lise Normand, Harvard University; Miami University Joel Greenhouse, Carnegie Mellon University; 5:00 Bayesian Armitage-Doll Multistage Eloise Kaizar, The Ohio State University; Brian Carcinogenesis Model in Estimating Neelon, Duke University and Robert Gibbons, Cancer Mortality University of Chicago Zhiheng Xu* and Vicki Hertzberg, Emory University 4:00 Regulatory Network Analysis by Meta-Analysis 5:15 Floor Discussion of Multiple Transcriptomic Studies in Major Depressive Disorder 91. CONTRIBUTED PAPERS: Ying Ding*, Etienne Sibille and George Tseng, Diagnostic and Screening Tests University of Pittsburgh Sponsor: ENAR 4:15 Meta-Analysis Framework for the Dimension Chair: Patrick Perry, New York University Reduction of Genomic Data Dongwan D. Kang* and George C. Tseng, University of Pittsburgh 3:45 Discrete Survival Analysis with Misclassified Events 4:30 Meta-Analysis of Observational Studies with Abidemi Adeniji*, University of Pittsburgh Unmeasured Confounders Lawrence C. McCandless*, Simon Fraser University, 4:00 A New Approach to Adjust for Verification Bias Canada in Assessment of Binary Diagnostic Tests Qingxia Chen*, Vanderbilt University 4:45 Comprehensive Comparative Study of Microarray Meta-Analysis Methods Lun-Ching Chang*, Hui-Min Lin and 4:15 Diagnostic Tests Based on Multiple Cutpoints for George C. Tseng, University of Pittsburgh Not Proper ROC Curves Peter R. Dawson* and Phyllis A. Gimotty, University of Pennsylvania

52 ENAR 2012 SPRING MEETING APRIL 1–4 5:00 Imputation of Truncated p-values for 4:45 Time-to-event Analysis with Partial Adjudication Meta-Analysis Methods and Its Genomic of Potential Events Using Fractional Imputation n Shaowu Tang* and George C. Tseng, Jason C. Legg*, Amgen Inc. and Jae Kwang Kim, University of Pittsburgh Iowa State University 5:15 Merging Clustered or Longitudinal Cohort Data 5:00 Multiple Imputation for Generalized Linear with Cohort-specific Missing Covariates Models with Censored Covariates Fei Wang*, Lu Wang and Peter X.-K. Song, Paul W. Bernhardt*, Huixia Wang and Daowen University of Michigan Zhang, North Carolina State University 5:15 Multiple Imputation for Measurement Error with 93. CONTRIBUTED PAPERS: Internal and External Calibration Samples Missing Data I Roderick J. Little*, University of Michigan Sponsor: ENAR Chair: Zhi (Kevin) He, University of Michigan 94. CONTRIBUTED PAPERS: Semiparametric and Nonparametric

SCIENTIFIC PROGRAM 3:45 A Multiple Imputation Based Approach Methods for Survival Analysis to Sensitivity Analyses and Effectiveness Sponsor: ENAR Assessments in Longitudinal Clinical Trials Chair: Lily Wang, University of Georgia Teshome Birhanu*, I-BioStat, Universiteit Hasselt, Belgium; Ilya Lipkovich, Eli Lilly & Company; 3:45 A Family of Weighted Generalized Inverse Geert Molenberghs, I-BioStat, Universiteit Weibull Distribution Hasselt, Belgium and I-BioStat, Katholieke Broderick O. Oluyede*, Georgia Southern University Universiteit Leuven, Belgium and Craig H. and Jing Kersey, East Georgia College Mallinckrodt, Eli Lilly & Company 4:00 Stratified and Unstratified Log-Rank Tests in 4:00 Estimation of Rate of Change in Longitudinal Survival Analysis Studies with Varying Degrees of Missingness Changyong Feng*, David Oakes and Yao Yu, and Informative Dropout: A Simulation Study University of Rochester Medical Center Jamie E. Collins*, Boston University; Robin Bliss and Elena Losina, Brigham and Women’s Hospital 4:15 Nonparametric Estimation of the Mean Function for Recurrent Events Data with 4:15 On Cluster Size, Ignorability, Ancillarity, Missing Event Category Completeness, Separability, and Degeneracy: Feng-Chang Lin*, Jianwei Cai and Jason P. Fine, Sequential Trials, Random Sample Sizes, and University of North Carolina at Chapel Hill and Missing Data HuiChuan J. Lai, University of Wisconsin-Madison Geert Molenberghs*, I-BioStat, Universiteit Hasselt & Katholieke Universiteit Leuven, Belgium; 4:30 Median Tests for Censored Survival Data: Michael G. Kenward, London School of Hygiene and Contingency Table Approach Tropical Medicine; Marc Aerts, I-BioStat, Universiteit Shaowu Tang and Jong-Hyeon Jeong*, Hasselt, Belgium; Geert Verbeke, I-BioStat, Katholieke University of Pittsburgh Universiteit Leuven & Universiteit Hasselt, Belgium; 4:45 Pointwise Confidence Intervals for a Survival Anastasios A. Tsiatis and Marie Davidian, North Distribution for Right Censored Data with Small Carolina State University and Dimitris Rizopoulos, Samples or Heavy Censoring Erasmus University Rotterdam Michael P. Fay*, Erica Brittain and Michael A. 4:30 Diagnostic Plots for Evaluation of Bias in Proschan, National Institute of Allergy and Infectious Missing Data from Clinical Trials Diseases, National Institutes of Health Gerry W. Gray*, U.S. Food and Drug Administration 5:00 Further Thoughts on the Proportional Mean Residual Life Model David Oakes*, University of Rochester Medical Center 5:15 Frailty Models with Covariates Subject to Limit of Detection Abdus Sattar*, Case Western Reserve University; Liang Li, Cleveland Clinic Foundation and Pingfu Fu, Case Western Reserve University

53 Preliminary Program n = Student Award Winner | * = Presenter Wednesday, April 4 9:30 Doubly Regularized Estimation and Selection in Linear Mixed-Effects Models 8:30 – 10:15 am for High-Dimensional Longitudinal Data Yun Li, University of Michigan; Sijian Wang, 95. New Statistical Challenges in Functional University of Wisconsin; Peter X.K. Song, Naisyin Wang and Ji Zhu*, University of Michigan Data Analysis 10:00 Floor Discussion Sponsor: ASA Biometrics Section Organizer: Ana-Maria Staicu, North Carolina State University Chair: Michele Guindani, University of Texas MD Anderson 97. Analyses of Incomplete Longitudinal Data – Cancer Center How Robust are the Results? Sponsor: ASA Biometrics Section 8:30 Bayesian Variable Selection for Identifying Organizer: Donna Kowalski, Astellas Pharma Global Genetic Effects on Functional Connectivity Development, Inc Brian J. Reich*, North Carolina State University; Chair: Donna Kowalski, Astellas Pharma Global Michele Guindani, University of Texas MD Anderson Development, Inc SCIENTIFIC PROGRAM Cancer Center; Abel Rodriguez, University of California at Santa Cruz and Vince Calhoun, 8:30 Bayesian Influence Measures for Joint Models University of New Mexico for Longitudinal and Survival Data 8:55 Regression Models for Spatially Correlated Joseph G. Ibrahim* and Hongtu Zhu, University of Multilevel Functional Data North Carolina at Chapel Hill and Niansheng Tang, Ana-Maria Staicu*, North Carolina State Yunnan University, China University; Damla Sentürk, University of California 9:00 Robust Analyses of Randomized Clinical Trials at Los Angeles and Raymond J. Carroll, Texas with Incomplete Longitudinal Data A&M University Devan V. Mehrotra*, Merck Research Laboratories 9:20 Varying Coefficient Models for Sparse 9:30 On the Usefulness of Sensitivity Analyses Noise-Contaminated Longitudinal Data James M. Robins*, Harvard School of Public Health Damla Senturk*, University of California, Los Angeles and Danh Nguyen, University of California, Davis 10:00 Floor Discussion 9:45 Longitudinal High Dimensional Data Analysis Vadim Zipunnikov*, Johns Hopkins University; 98. Statistics in Mental Health Research: Sonja Greven, Ludwig-Maximilians-University; Brian A Prelude to a Proposed New ASA Section Caffo, Johns Hopkins University; Daniel S. Reich, Sponsor: ENAR Johns Hopkins University and National Institute Organizers: Naihua Duan, Columbia University and of Neurological Disorders and Stroke, National Robert Gibbons, University of Chicago Institutes of Health and Ciprian M. Crainiceanu, Chair: Naihua Duan, Columbia University Johns Hopkins University 10:10 Floor Discussion 8:30 Evolution of Psychopharmacology Trial Design and Analysis: Six Decades in the Making 96. Estimation of Covariance Matrices Andrew C. Leon*, Weill Cornell Medical College with Applications to Longitudinal Data 8:55 Modeling Between- and Within-Subject and Graphical Models Mood Variance in Ecological Momentary Sponsor: IMS Assessment (EMA) Data using Mixed-Effects Organizer: Michael Daniels, University of Florida Location-Scale Models Chair: Dhiman Bhadra, Worcester Polytechnic Institute Donald Hedeker*, Robin J. Mermelstein and Hakan Demirtas, University of Illinois at Chicago 9:20 Are Antidepressants Effective and Do They 8:30 Estimating Large Correlation Matrices by Cause Suicidal Thoughts and Behavior? Banding the Partial Autocorrelation Matrix Methodology and Findings for Synthesizing Yanpin Wang and Michael Daniels*, Findings Across Multiple Randomized University of Florida Antidepressant Trials 9:00 Antedependence Models for Normal and Hendricks Brown*, University of Miami; Robert Categorical Longitudinal Data D. Gibbons, University of Chicago; Kwan Hur, Dale L. Zimmerman*, University of Iowa University of Chicago and Hines VA Hospital Center for Medication Safety; John J. Mann, Columbia University and Bengt O. Muthen, University of California at Los Angeles

54 ENAR 2012 SPRING MEETING APRIL 1–4 9:45 The Future of Mental Health Measurement 9:20 Post-Randomization Modification of Intent-to- Robert D. Gibbons*, University of Chicago Treat Effects in Randomized Clinical Trials 12:00 Floor Discussion Rongmei Zhang*, U.S. Food and Drug Administration; Marshall Joffe and Thomas Ten Have, University of Pennsylvania 99. High-Impact Statistical Methods and the Fight 9:45 Mediation Analysis on the Basis of Initial Against HIV in the Developing World Randomization Sponsor: ENAR Marshall Joffe, University of Pennsylvania Organizer: Joseph Hogan, Brown University Chair: Joseph Hogan, Brown University 10:10 Floor Discussion

8:30 Using Auxiliary Biomarkers to Improve Pooling 101. Topic Contributed Papers: Advanced Statistical Strategies for HIV Viral Load Testing Modeling for Complex OMICS Data Tao Liu*, Joseph W. Hogan, Shangxuan Zhang Sponsor: ENAR and Rami Kantor, Brown University Organizer: Hua Zhou, North Carolina State University

SCIENTIFIC PROGRAM Chair: Hua Zhou, North Carolina State University 8:55 The Role of Network Analyses in Research on Prevention of HIV Infection Ravi Goyal, Joseph Blitzstein and Victor DeGruttola*, 8:30 Bayesian Model for Identifying Spatial Harvard University Interactions of Chromatins 9:20 Estimation from Double-Sampled Shili Lin* and Liang Niu, The Ohio State University Semi-Competing Risk Data 8:50 Testing and Estimation of Partial Constantin T. Yiannoutsos*, Menggang Yu Correlation Networks and Hai Liu, Indiana University School of Medicine Fred A. Wright* and Min Jin Ha, University of North 9:45 Traditional and ‘Causal’ Models for Evaluating Carolina at Chapel Hill the Effectiveness of the Switch to Second Line 9:10 Statistical Methods for Inference from Multiple Therapy in a Large, Ongoing HIV/AIDS Treatment ChIP-seq Samples and Care Program in a Resource Limited Setting Sunduz Keles*, University of Wisconsin, Madison Sehee Kim and Donna Spiegelman*, Harvard School 9:30 Statistical Models for Analyzing Sequencing of Public Health; Claudia Hawkins, Northwestern Applications University; Aisa Muya and Eric Aris, Manage- Zhaohui S. Qin*, Emory University ment and Development for Health Dar es Salaam, 9:50 A Gene-Trait Similarity Regression Method Tanzania; Ester Mungure and Aveika Akum, Harvard for Common and Rare Variants with General School of Public Health; Guerino Chalamilla, Trait Values Management and Development for Health Dar es Jung-Ying Tzeng*, North Carolina State University Salaam, Tanzania and Wafaie W. Fawzi, Harvard School of Public Health 10:10 Floor Discussion 10:10 Floor Discussion 102. Contributed Papers: Biomarkers II 100. Memorial Session for Tom Ten Have Sponsor: ENAR Chair: Ewout Steyerberg, Erasmus University Medical Center Sponsor: ENAR Organizers: Dylan Small and Marshall Joffe, University of Pennsylvania 8:30 The Application of Non-Linear Models to Chair: Dylan Small, University of Pennsylvania Understanding Sociodemographic Distributions of Health Over Time David Rehkopf*, Stanford University 8:30 Celebrating the Life of Thomas R. Ten Have J. Richard Landis*, University of Pennsylvania 8:45 Adjusting for Matching and Covariates in Linear Discriminant Analysis 8:55 Sizing Sequential, Multiple Assignment, Josephine K. Asafu-Adjei*, Harvard School of Public Randomized Trials for Survival Analysis Health; Allan R. Sampson and Robert A. Sweet, Zhiguo Li, Duke University and Susan Murphy*, University of Pittsburgh University of Michigan

55 Preliminary Program n = Student Award Winner | * = Presenter 9:00 Adjustment for Measurement Error in Evaluating 9:50 Choice of Optimal Estimators in Structural Diagnostic Biomarkers by Using an Internal Nested Mean Models With Application to Reliability Sample Initiating HAART in HIV Positive Patients After n Matthew T. White* and Sharon X. Xie, Varying Duration of Infection University of Pennsylvania Judith J. Lok*, Victor DeGruttola, Ray Griner and 9:15 Integrating Multiple Modalities of High James M. Robins, Harvard School of Public Health Throughput Assays Using Item Response Theory: 10:10 Floor Discussion An Application to Identify Genes Altered in Ovarian Cancer 104. CONTRIBUTED PAPERS: Pan Tong*, University of Texas Health Science Center at Houston and Kevin R. Coombes, Missing Data II University of Texas MD Anderson Cancer Center Sponsor: ENAR Chair: R. Lakshmi Vishnuvajjala, U.S. Food and 9:30 Estimating the Correlation Between Two Drug Administration Variables Subject to Limit of Detection Courtney E. McCracken, Emory University SCIENTIFIC PROGRAM and Stephen W. Looney*, Georgia Health 8:30 A Joint Longitudinal-Survival Model to Analyze Sciences University Risk Factors for Death of Patients on the Liver Transplant Waiting List 9:45 Modeling Complex Structures in Arwin Thomasson*, Peter Reese, David Goldberg Neuropsychiatric Testing Data for Subjects and Sarah Ratcliffe, University of Pennsylvania with Pediatric Disorders Vivian H. Shih*, Laurie A. Brenner, Carrie E. Bearden, 8:45 Missing Covariates and the Plausibility of the Catherine A. Sugar and Steve S. Lee, University of Missing at Random Assumption California at Los Angeles Jonathan W. Bartlett* and James R. Carpenter, London School of Hygiene & Tropical Medicine, 10:00 Floor Discussion UK; Kate Tilling, University of Bristol, UK; Michael G. Kenward, London School of Hygiene & Tropical 103. CONTRIBUTED PAPERS: Medicine, UK and Stijn Vansteelandt, Ghent Dynamic Treatment Regimens University, Belgium Sponsor: ENAR 9:00 Missing Value Imputation in Phenome Data Chair: Douglas Gunzler, Case Western Reserve University Ge Liao* and George C. Tseng, University of Pittsburgh 8:30 Q-learning for Estimating Optimal Dynamic 9:15 Weighted Semiparametric Estimation of Treatment Rules from Observational Data the Cox Model for Interval-Censored Data Erica E. Moodie*, McGill University and with Missing Covariates Bibhas Chakraborty, Columbia University Lu Wang* and Bin Nan, University of Michigan; 8:50 Weighted Log-rank Statistic to Compare Peng Zhang, Peking University and Andrew Zhou, Shared-Path Adaptive Treatment Strategies University of Washington Kelley M. Kidwell* and Abdus S. Wahed, 9:30 Goodness-of-Fit Test to Distribution-Free University of Pittsburgh Models for Longitudinal Studies with Informative Missing Data 9:10 A Comparison of Q- and A-Reinforcement Pan Wu* and Xin M. Tu, University of Rochester Learning Methods for Estimating Optimal 9:45 Joint Empirical Likelihood Confidence Regions Treatment Regimes for the Evaluation of Continuous-Scale Diagnostic Phillip J. Schulte*, Marie Davidian and Tests in the Presence of Verification Bias Anastasios A. Tsiatis, North Carolina State University Binhuan Wang* and Gengsheng Qin, 9:30 Estimating Individualized Treatment Rules Using Georgia State University Outcome Weighted Learning 10:00 Floor Discussion n Yingqi Zhao* and Donglin Zeng, University of North Carolina at Chapel Hill; A. John Rush and Michael R. Kosorok, University of North Carolina at Chapel Hill

56 ENAR 2012 SPRING MEETING APRIL 1–4 105. CONTRIBUTED PAPERS: 8:45 Comparison of Four-Period and Two- Period Multiple Testing Crossover Studies for Comparing Within-Subject Sponsor: ENAR Variances of Two Treatments Chair: Elizabeth L. Ogburn, Harvard University Donald J. Schuirmann*, U.S. Food and Drug Administration 8:30 Step-up-down Multiple Testing Procedures 9:00 Use of Longitudinal Registry Data for and Their Control of False Rejections Optimal Design of Clinical Trials: An Example Alexander Y. Gordon*, University of North Carolina in Huntington’s Disease at Charlotte Elizabeth L. Turner* and Chris Frost, London School 8:45 An Improved Hochberg Procedure for Multiple of Hygiene and Tropical Medicine Tests of Significance 9:15 Assessing Probability of Success for Clinical Dror M. Rom*, PSI Center for Statistical Research Trials with Correlated Binary Endpoints 9:00 Robust Identification of Conditional Gene Michael Dallas*, Guanghan Liu, Ivan Chan and Expression in Development of Onthophagus Joseph Heyse, Merck Research Laboratories Beetles 9:30 Interim Design Resampling for Sample SCIENTIFIC PROGRAM Guilherme V. Rocha*, Karen Kafadar and Armin Size Re-estimation Moczek, Indiana University; Emilie Snell-Rood, Sergey Tarima*, Peng He, Tao Wang and University of Minnesota; Teiya Kijimoto and Justen Aniko Szabo, Medical College of Wisconsin Andrews, Indiana University 9:45 A General Approach for Estimating Stopping 9:15 Estimating the Number of Genes that are Probability of Large Confirmatory Group Differentially Expressed in Both of Two Sequential Clinical Trial in Life-Threatening Independent Experiments Conditions Monitoring Binary Efficacy and Megan C. Orr*, Peng Liu and Dan Nettleton, Iowa Safety Outcomes State University Yanqiu Weng*, Wenle Zhao and Yuko Y. Palesch, 9:30 An Adaptive Resampling Test for Detecting the Medical University of South Carolina Presence of Significant Predictors 10:00 GEE Method for Longitudinal Data Analysis Ian W. McKeague and Min Qian*, Columbia in SMART Trials and the Associated Sample University Size Formula 9:45 Joint Modeling of Multiple Partially Observed Zhiguo Li*, Duke University Outcomes from Clinical Trials Nicholas J. Horton*, Smith College; Kypros Kypri, University of Newcastle, Australia; Frank B. Yoon, Mathematica Policy Research; Garrett M. Fitzmaurice and Stuart R. Lipsitz, Harvard Medical School and Sharon-Lise T. Normand, Harvard Medical School and Harvard School of Public Health 10:00 A Tight Prediction Interval for False Discovery Proportion under Dependence Shulian Shang*, Mengling Liu and Yongzhao Shao, New York University

106. CONTRIBUTED PAPERS: Power / Sample Size Calculations Sponsor: ENAR Chair: Gerry W. Gray, U.S. Food and Drug Administration 8:30 Sample Size Estimation in Randomized Clinical Trials (RCTs) Designed to Establish the Interaction Between Prognostic Factor and Treatment: Impact of Prognostic Factor Distribution Misspecification William M. Reichmann*, Boston University School of Public Health and Brigham and Women’s Hospital; Michael P. LaValley and David R. Gagnon, Boston University School of Public Health and Elena Losina, Brigham and Women’s Hospital and Boston University School of Public Health

57 Preliminary Program Wednesday, April 4 (continued) 11:20 Detecting Multiple Change Points in Piecewise Constant Hazard Functions 10:15 – 10:30 am | Break Yi Li*, University of Michigan; Mitchell H. Gail, Grand Ballroom Pre-function Area National Cancer Institute, National Institutes of Health and Jeanne Mandelblatt, Lombardi Cancer Center at Georgetown University 10:30 – 12:15 pm 11:45 Mammography, Modeling and Politics Jeanne Mandelblatt*, Lombardi Cancer Center 107. Imaging, Omics, and High-Dimensionality at Georgetown University; Kathy Cronin, National Sponsor: IMS Cancer Institute, National Institutes of Health; Organizer: Bin Nan, University of Michigan Don Berry, University of Texas MD Anderson Cancer Chair: Bin Nan, University of Michigan Center; Harry DeKoning, Erasmus University Medical Center; Sandra Lee, Harvard University; 10:30 Multiple Comparison Procedures for Sylvia Plevritis, Stanford University; Clyde Schechter, iQTL analysis Albert Einstein College of Medicine; Natasha Stout,

SCIENTIFIC PROGRAM Debashis Ghosh* and Wen-Yu Hua, Penn Harvard Pilgrim Healthcare; Marvin Zelen, Harvard State University and Thomas E. Nichols, University and Eric Feurer, National Cancer Institute, University of Warwick National Institutes of Health 10:55 Test for SNP-set Effects with Applications 12:10 Floor Discussion to Sequencing Association Studies Xihong Lin*, Harvard School of Public Health 109. Powerful Statistical Models and Methods in 11:20 Analyzing Joint and Individual Variation Next Generation Sequencing in Multiple Data Sets Sponsor: ASA Biometrics Section Andrew B. Nobel*, Eric S. Lock and J. S. Marron, Organizer: Lin Chen, University of Chicago University of North Carolina at Chapel Hill Chair: Pei Wang, Fred Hutchinson Cancer Research Center 11:45 What is in the News: Automatic and Sparse Summarization of Large Document Corpora 10:30 Analytical Challenges in Association Studies Bin Yu* and Luke Miratrix, University of California with Whole-Genome Sequencing at Berkeley; Jinzhu Jia, Peking University; Dan L. Nicolae*, University of Chicago Brian Gawalt, Laurent El Ghaoui and Jas Sekhon, 11:00 University of California at Berkeley Association Analysis of Genome-wide Genetic Data 12:10 Floor Discussion Li Hsu*, Fred Hutchinson Cancer Research Center 11:30 Exponential Combination Procedure for 108. Statistical Methods for Modeling Seer Set-Based Tests in Sequencing Studies Population-Based Cancer Data Lin S. Chen*, University of Chicago; Li Hsu, Sponsor: ASA Section on Statistics and the Environment Fred Hutchinson Cancer Research Center and Organizer: Kathy Cronin, National Cancer Institute, National Dan L. Nicolae, University of Chicago Institutes of Health 12:00 Floor Discussion Chair: Eric Feuer, National Cancer Institute, National Institutes of Health 110. Recent Advances in Clinical Trial Design: Utilities And Pitfalls 10:30 Introduction: An Overview of Population-based Sponsor: ASA Biopharmaceutical Section SEER Cancer Registry Data Organizer: Yeh-Fong Chen, U.S. Food and Drug Hyunsoon Cho* and Nadia Howlader, National Administration Cancer Institute, National Institutes of Health Chair: Yeh-Fong Chen, U.S. Food and Drug Administration 10:55 Using SEER Data to Develop Models of Absolute Cancer Risk 10:30 Complex Clinical Trial Designs: An Overview Mitchell H. Gail*, National Cancer Institute, H.M. James Hung*, U.S. Food and Drug National Institutes of Health Administration 10:55 A Doubly Enriched Clinical Trial Design Merging Placebo Lead-in and Randomized Withdrawal Roy N. Tamura*, Eli Lilly and Company and Anastasia Ivanova, University of North Carolina at Chapel Hill

58 ENAR 2012 SPRING MEETING APRIL 1–4 11:20 Utility and Pitfalls with Adaptive Selection 10:30 Practical Issues in the Design, Conduct, Design and Analysis of Randomized Oncology Trials Sue-Jane Wang*, U.S. Food and Drug Administration Comparing Dynamic Treatment Regimes 11:45 A Two Part Design for Evaluating Antiepileptic Peter Thall*, University of Texas MD Anderson Drugs Cancer Center Eugene Laska*, New York University School 10:55 A Policy Search Method for Estimating of Medicine Treatment Policies 12:10 Floor Discussion Xi Lu* and Susan A. Murphy, University of Michigan 11:20 Comparing Dynamic Treatment Regimes Via 111. Individualized Risk Prediction Using Joint the G-Formula Miguel A. Hernan*, Harvard School of Public Health Models of Longitudinal and Survival Data Sponsor: ENAR 11:45 Realistic as Treated Dynamic Treatment Regimes Organizer: Hormuzd Katki, National Cancer Institute, National Andrea Rotnitzky*, Universidad Di Tella and Harvard Institutes of Health University and Sebastien Haneuse, Harvard School of Public Health

SCIENTIFIC PROGRAM Chair: Raji Sundaram, National Institute of Child Health and Development, National Institutes of Health 12:00 Floor Discussion

10:30 A Joint Model of Cervical Cancer, PAP Smears, 113. TOPIC CONTRIBUTED PAPERS: and HPV Tests for Use in Developing Cancer A Review of Established and New Methods of Screening Guidelines Multiple Imputation of Missing Data with the Hormuzd A. Katki*, National Cancer Institute, Emphasis on Available Software Packages National Institutes of Health and Rajeshwari Sponsor: ENAR Sundaram, National Institute of Child Health and Organizer: Victoria Liublinska, Harvard University Human Development, National Institutes of Health Chair: Donald B. Rubin, Harvard University 10:55 Prediction of Multivariate Binary Data with Multi-Scale Informative Dropout— A Joint Modeling Approach 10:30 Flexible Imputation with MICE Alexander C. McLain* and Rajeshwari Sundaram, Stef van Buuren*, TNO Eunice Kennedy Shriver National Institute of Child 10:50 Multiple Imputation by Ordered Health and Human Development, National Institutes Monotone Blocks with Application to of Health the Anthrax Vaccine Adsorbed Trial 11:20 Different Parameterizations for Joint Models Fan Li*, Duke University; Michela Baccini and for Longitudinal and Survival Data, and How Fabrizia Mealli, University of Florence; Constantine They Affect Individualized Predictions Frangakis, Johns Hopkins University; Elizabeth Zell, Dimitris Rizopoulos*, Erasmus University Centers for Disease Control and Prevention and Medical Center Donald B. Rubin, Harvard University

11:45 Joint Latent Class Models of Longitudinal 11:10 New Multiple Imputation Methods in SOLAS, and Time-to-Event Data in the Context of Including a Combination of Two Hot-Deck Individual Dynamic Predictions Methods with Appealing Properties Cécile Proust-Lima* and Mbéry Séne, INSERM, Donald B. Rubin and Victoria Liublinska*, France; Jeremy MG Taylor, University of Michigan Harvard University and Hélène Jacqmin-Gadda, INSERM, France 11:30 Convergence Properties of Sequential 12:10 Floor Discussion Regression Multiple Imputation Approach Trivellore Raghunathan* and Jian Zhu, University of Michigan 112. Recent Advances in Dynamic Treatment 11:50 Making Multiple Imputation Accessible Regimes Research to Non-Statisticians Sponsor: ENAR Leland Wilkinson*, University of Illinois at Chicago Organizer: Bibhas Chakraborty, Columbia University 12:10 Floor Discussion Chair: Bibhas Chakraborty, Columbia University

59 Preliminary Program n = Student Award Winner | * = Presenter 114. CONTRIBUTED PAPERS: 115. CONTRIBUTED PAPERS: Accelerated Failure Time Models Environmental and Ecological Applications Sponsor: ENAR Sponsor: ENAR Chair: Margaret Taub, Johns Hopkins University Chair: Eleanor Pullenayegum, McMaster University

10:30 Accelerated Failure Time Model for 10:30 The Effect of Air Pollution Control on Life Case-Cohort Design with Longitudinal Expectancy in the United States: An Analysis of Covariates Measured with Error 545 U.S. Counties for the Period 2000 to 2007 Xinxin Dong*, University of Pittsburgh; Andrew W. Correia* and Francesca Dominici, Lan Kong, Penn State Hershey College of Medicine Harvard University and Abdus S. Wahed, University of Pittsburgh 10:45 Accelerated Failure Time Modeling of Genetic Pathway Data Using Kernel Machines for Risk Prediction 10:45 Modeling Space-Time Quantile Surfaces for Jennifer A. Sinnott* and Tianxi Cai, Nonstationary Random Fields SCIENTIFIC PROGRAM Harvard University Dana Sylvan*, Hunter College of the City University 11:00 A Semiparametric Accelerated Failure of New York Time Partial Linear Model and Its Application 11:00 Fast Copula-Based Spatial Regression for to Breast Cancer Discrete Geostatistical Data Yubo Zou and Jiajia Zhang*, University of South John Hughes*, University of Minnesota Carolina and Guoyou Qin, Fudan University, 11:15 Mortality Effects of Particulate Matter Shanghai, PR China Constituents in a National Study of U.S. 11:15 Parametric Inference on Accelerated Failure Urban Communities Time Model with Random Effects Jenna R. Krall*, Johns Hopkins Bloomberg School of KyungAh Im* and Jong-Hyeon Jeong, University Public Health; Francesca Dominici, Harvard School of Pittsburgh and Rhonghui Xu, University of of Public Health; Michelle L. Bell, Yale University and California-San Diego Roger D. Peng, Johns Hopkins Bloomberg School of 11:30 Bayesian Semiparametric Accelerated Failure Public Health Time Model for Arbitrarily Censored Data Subject 11:30 Estimating Covariance Parameters and to Covariate Measurement Error Generalized Least Squares Estimators in Linear Xiaoyan Lin* and Lianming Wang, Models with Spatially Misaligned Data University of South Carolina Kenneth K. Lopiano* and Linda J. Young, 11:45 Subsample Ignorable Maximum Likelihood University of Florida and Carol A. Gotway, Centers for Accelerated Failure Time Models with for Disease Control Missing Predictors 11:45 Comparing Maps Across Time: Spatio-Temporal Nanhua Zhang*, University of South Florida and Moran’s I in STARMA Models Roderick J. Little, University of Michigan Nathan M. Holt* and Linda J. Young, University of 12:15 Floor Discussion Florida and Carol A. Gotway, Centers for Disease Control and Prevention 12:00 Modeling Low-rank Spatially Varying Cross-covariances using Predictive Process with Application to Soil Nutrient Data n Rajarshi Guhaniyogi*, University of Minnesota; Andrew O. Finley and Rich Kobe, Michigan State University and Sudipto Banerjee, University of Minnesota

60 ENAR 2012 SPRING MEETING APRIL 1–4 116. CONTRIBUTED PAPERS: 11:15 General Pivotal Goodness of Fit Test Based on Next Generation Sequencing Kernel Density Estimation Sponsor: ENAR Hani M. Samawi* and Robert Vogel, Chair: Simone Gray, U.S. Environmental Protection Agency Georgia Southern University 11:30 Berry-Esseen-Type Bounds for General Nonlinear 10:30 Statistical Modeling of Closely Located Protein Statistics, with Applications to Pearson’s and Binding Sites using Paired-End Tag (PET) Non-Central Student’s and Hotelling’s ChIP-Seq Data, with Application to the Study of Iosif Pinelis*, Michigan Technological University sigma70 Factor in Escherichia coli 11:45 Bayesian Quantile Regression using Mixture Dongjun Chung*, Jeff Grass, Kevin Myers, Patricia of Polya Trees Prior Kiley, Robert Landick and Sunduz Keles, University Minzhao Liu* and Michael Daniels, of Wisconsin, Madison University of Florida 10:50 A Generalized Linear Model for Peak Calling 12:00 Confidence Intervals Under Order Restriction in ChIP-Seq Data Yong Seok Park*, John D. Kalbfleisch and Jialin Xu* and Yu Zhang, The Pennsylvania Jeremy MG Taylor, University of Michigan SCIENTIFIC PROGRAM State University 11:10 A Dynamic Signal Profile Algorithm 118. CONTRIBUTED PAPERS: Combined with a Bayesian Hidden Ising Semi-Parametric and Non-Parametric Models Model for ChIP-seq Data Analysis Sponsor: ENAR Qianxing Mo*, Baylor College of Medicine Chair: Jing Zhang, University of Minnesota 11:30 Determining Probability of Rare Variants: Design Implications for Family-based 10:30 Locally Efficient Estimation of Marginal Sequencing Studies Treatment Effects Using Auxiliary Covariates in Wenyi Wang* and Gang Peng, University of Texas Randomized Trials with Correlated Outcomes MD Anderson Cancer Center Alisa J. Stephens*, Eric Tchetgen Tchetgen and 11:50 A Powerful Test for Multiple Rare Variants Victor De Gruttola, Harvard University Association Studies that Incorporate Sequencing 10:45 Kernel Machine Quantile Regression of Qualities Multi-Dimensional Genetic Data Z. John Daye*, Hongzhe Li, University of Dehan Kong*, Arnab Maity and Jung-Ying Tzeng, Pennsylvania School of Medicine and Zhi Wei, North Carolina State University New Jersey Institute of Technology 11:00 An Improved Method for Choosing the 12:10 Floor Discussion Smoothing Parameter in a Semi-Parametric Change-point Model 117. CONTRIBUTED PAPERS: Sung Won Han*, Theresa Busch and Mary Putt, Nonparametric Methods University of Pennsylvania Sponsor: ENAR 11:15 Semiparametric Bayesian Joint Modeling Chair: Ruosha Li, University of Pittsburgh of a Binary and Continuous Outcome Beom Seuk Hwang* and Michael L. Pennell, 10:30 Bounded Influence Nonlinear Signed-Rank The Ohio State University Regression 11:30 Semiparametric Single Index Interaction Model Huybrechts Frazier Bindele*, Auburn University in 1-m Matched Case-Crossover Studies 10:45 Asymptotic Optimality and Efficient Computation Chongrui Yu* and Inyoung Kim, Virginia Polytechnic of the Leave-subject-out Cross-Validation Institute and State University n Ganggang Xu* and Jianhua Huang, 11:45 Generalized Method of Weighted Texas A&M University, College Station Moments: A Robust Estimator of Polytomous 11:00 Unconditional Tests to Measure Agreement Logistic Model for Categorial Data in Applications to a Brain Xiaoshan Wang* and Pranab K. Sen, University Trauma Study of North Carolina at Chapel Hill Guogen Shan*, Brain Trauma Foundation; 12:00 Floor Discussion Gregory Wilding and Changxing Ma, University at Buffalo; Alison Schonberger and Jamshid Ghajar, Brain Trauma Foundation

61 Preliminary Program n = Student Award Winner | * = Presenter 62 ENAR 2012 SPRING MEETING APRIL 1–4 ASA Section Representatives ENAR Student Awards (2012) Carmen Mak Sharon-Lise Normand Merck (Chair) ASA Biopharmaceutical Statistics Section Harvard University SPECIAL THANKS SPECIAL Brian Reich North Carolina State University ENAR Diversity Workshop (2012) ASA Section on Statistics and the Environment Renée Moore (Co-Chair) Daniel Scharfstein University of Pennsylvania School of Medicine Johns Hopkins University ASA Biometrics Section Knashawn Morales (Co-Chair) Nichole Carlson University of Pennsylvania School of Medicine University of Colorado Health Sciences ASA Section on Teaching Statistics ENAR Workshop for Junior in the Health Sciences Biostatistians in Health Research Annie Qu (2012) University of Illinois Limin Peng ASA Section on Statistical Learning (Chair) and Data Mining Emory University Daniel Rowe Karen Bandeen-Roche Marquette University (2012 ENAR President) 2012 ENAR Program Committee ASA Section on Neurostatistics Johns Hopkins University Debashis Ghosh Larry Tang Marie Davidian (Chair) George Mason University North Carolina State University Penn State University ASA Section on Health Policy Kimberly Drews Jonathan Schildcrout Statistics George Washington University (Co-Chair) Yan Li Amy Herring Vanderbilt University University of Texas, Arlington (2012 ENAR Past President) ASA Section on Survey Research Methods University of North Carolina at Chapel Hill IMS Program Chair Yi Li ENAR Educational Advisory Xihong Lin Harvard University Committee Harvard University Bradley Carlin Bhramar Mukherjee At-Large Members University of Minnesota University of Michigan Lei Nie Dean Follmann Judy (Huixia) Wang U.S. Food and Drug Administration NIH/NIAID North Carolina State University Xiaoxi Zhang Joe Hogan Mike Wu Pfizer Brown University University of North Carolina at Chapel Hill Abdus Wahed Gene Pennello University of Pittsburgh CDRH/FDA ENAR Executive Team at Drohan Management José Pinheiro Kathy Hoskins Johnson & Johnson PRD (Executive Director) Local Arrangements Chair Laura Yarborough Rochelle Tractenberg (Program Manager) Georgetown University Jennifer Weitz (Administrative Assistant)

63 Preliminary Program Engaging, Inspiring, and Training the Next Generation: Past Successes, Future Challenges and Opportunities

Marie Davidian Department of Statistics | North Carolina State University

Our discipline is in soliciting applications for a “Summer Institute DeMets, D.L.; Stormo, G.; Boehnke, M.; an unprecedented for Training in Biostatistics” (SIBS), restricted Louis, T.A.; Taylor, J.; Dixon, D. (2006). and enviable to US citizen and permanent resident Training of the Next Generation of position. Scientific undergraduates, to expose these students Biostatisticians: A Call to Action in the U.S. inquiry, public policy, to biostatistical science and practice and the Statistics in Medicine 25, 3415–3429. and decision-mak- pmyriad career opportunities available and ing in industry are to encourage them to seek graduate train- Biography all increasingly ing. What began as three such programs Marie Davidian is William Neal Reynolds Distinguished dependent on the in 2004 was expanded to eight in 2010, Professor of Statistics at North Carolina State Univer- sity (NCSU). She received bachelors and master’s collection and interpretation of what are and over the past eight summers, hundreds degrees in applied mathematics in 1980 and 1981 often vast amounts of complex data, and of students have participated, and scores from the University of Virginia and received a Ph.D. we – statisticians – are uniquely qualified to who might otherwise have pursued training in statistics from the University of North Carolina at address the challenges posed by this data in other STEM disciplines have entered Chapel Hill in 1987 under the direction of Raymond “explosion” and to ensure that the infer- graduate programs in statistics and bio- J. Carroll.

PRESIDENTIAL INVITED SPEAKER PRESIDENTIAL ences drawn are sound and that the results statistics nationwide. However, this and the She joined the Department of Statistics at NCSU in are communicated appropriately. small number of other government-funded 1987 and returned in 1996 after serving on the Opportunities for statisticians abound; statistics programs cannot alone address faculty in the Department of Biostatistics at Harvard the position of statistician has even been the challenge we face in bringing talented, School of Public Health from 1994-1996. Marie is an elected Fellow of the American Statistical Associa- called “the sexy job in the next ten years.” diverse students to our field. tion (ASA), the Institute of Mathematical Statistics Advanced Placement (AP) statistics courses (IMS), and the American Association for the Advance- in high school have seen a tremendous rise Since 2004, I have been privileged to ment of Science (AAAS) and is an elected member in enrollment in the past decade. So why co-direct one of the eight SIBS programs, of the International Statistical Institute (ISI). aren’t more US students pursuing gradu- which is a joint effort between my Depart- She has served as Coordinating and Executive Editor ate training in our discipline and choosing ment and Duke Clinical Research Institute of Biometrics; as chair of the National Institutes of statistics as a career? My experience and (DCRI). I also direct a NHLBI-funded Health Biostatistical Methods and Research Design that of numerous colleagues in academia, predoctoral training program that provides (BMRD) study section; on the International Biometric Society (IBS) and IMS Councils; as chair of a number industry, and government is that many quali- US PhD students in my department with un- of IBS committees, including the Editorial Advisory fied US students still do not know enough paralleled collaborative experience at DCRI. I Committee; and as ENAR president. She is a recipi- about the opportunities for statisticians or have seen firsthand how such opportunities ent of the Janet L. Norwood Award for Outstanding the training required and are diverted by have been transformative, altering the career Achievement by a Woman in the Statistical Sciences, the ASA Award for Outstanding Statistical Application, other Science, Technology, Engineering, and aspirations of so many US students. In this an IMS Medallion Lecturer award, and the Committee Mathematics (STEM) disciplines that may be talk, I will review the history of all eight SIBS of Presidents of Statistical Societies (COPSS) G.W. more familiar. programs and my experience with training Snedecor and F.N. David Awards, as well as several the next generation more generally. I will distinguished lectureships. This shortage of US students entering then argue that, if we are to achieve the She is currently ASA President-Elect. Since 2004, our graduate programs and profession is statistical workforce required to meet the she has co-directed the NCSU–Duke Clinical Re- nothing new. For example, two workshops demand, there must be a broader effort in search Institute (DCRI) Summer Institute for Training were held by NIH in the early 2000s to which stakeholders from all sectors, industry, in Biostatistics (SIBS) program, funded by a grant discuss the need for increasing the pipeline government, and academia, come together from the National Heart, Lung and Blood Institute (NHLBI) and the National Center for Research of biostatisticians to meet the expand- to conceive of and support programs to Resources. The program and its seven current ing needs of the nation’s health sciences increase the numbers of US students enter- counterparts at Boston University, Emory University, research enterprise and resulted in a white ing graduate programs in statistics and bio- University of Iowa, University of Pittsburgh, Univer- paper (DeMets et al. 2006) calling for more statistics and to provide them with essential sity of South Florida, Washington University in St. Louis, and University of Wisconsin have inspired training programs and opportunities to en- practical experience and skills while they are scores of talented US undergraduates to pursue courage US students to pursue biostatistics still in training. I hope to inspire all of you to graduate training in biostatistics. Marie is also careers. In 2003, the National Heart, Lung, join me in making such an effort a reality. Program Director of a NHLBI-funded predoctoral and Blood Institute (NHLBI) took action, training grant program in cardiovascular disease biostatistics, also joint with DCRI.

64 ENAR 2012 SPRING MEETING APRIL 1–4 Richard Lewis Tweedie played a significant role throughout his profes- sional career in mentoring young colleagues at work and through professional society activities. With funds donated by his friends and family the IMS created the “Tweedie New Researcher Award.” The award provides funds for travel to present the “Tweedie New Researcher Invited Lecture” at the IMS New Researchers Conference.

Statistical Learning with High-Dimensional Data

Hui Zou University of Minnesota

IMS TWEEDIE LECTURE High-dimensionality decade. This is a classical supervised has revolutionized learning problem. Some fundamental the landscape of drawbacks of existing proposal will be statistical inference pointed out and a new approach to sparse and learning. After discriminant analysis will be presented and a brief literature demonstrated by theoretical analysis and review I will use many numerical examples. The second two examples to example concerns learning graphical illustrate some models with non-Gaussian data. Under strategies to exploit the sparsity assump- normality assumption graphical model tion in high-dimensional learning. In the learning is often formulated as estimat- first example I will discuss the problem ing the precision matrix of a multivariate of sparse discriminant analysis which normal distribution. However, the observed has received a lot of attention in the past data are often skewed or have heavy tails. To deal with the non-normality issue I will introduce a much more flexible graphical model and new estimation methods will be presented together with theoretical and numerical results.

65 Preliminary Program 66 ENAR 2012 SPRING MEETING APRIL 1–4 Short Courses – Sunday, April 1, 2012

REGISTRATION PAYMENT RECEIVED BY March 1 AFTER March 1 Half Day Second Half Day Full Day Half Day Second Half Day Full Day MEMBER $ 160 $ 120 $ 250 $ 185 $ 140 $ 275 NONMEMBER $ 200 $ 160 $ 300 $ 225 $ 180 $ 320 SHORT COURSES SHORT Register for Two Half Day Courses and Save!

SC1 Bayesian Adaptive Methods desire for adaptability in clinical trials Morning Session 2: for Clinical Trials (to react to trial knowledge as it Bayesian Design and Analysis accumulates) has also led to heightened FULL DAY: 8:00 am – 5:00 pm for Phase I Studies interest in Bayesian methods. Instructors: – Rule-based designs for determining This full-day course (4 consecutive Scott Berry the MTD (e.g., 3+3) sessions) introduces Bayesian methods, Berry Consultants and computing, and software, and then goes – Model-based designs for determining Brad Carlin on to elucidate their use in Phase I, II, the MTD (CRM, EWOC, TITE University of Minnesota and III trials. We include descriptions of monitoring, toxicity intervals) Dose Overview: how the methods can be implemented ranging and optimal biologic dosing Thanks in large part to the rapid in WinBUGS, R, and BRugs, the version – Efficacy and toxicity development of Markov chain Monte of the BUGS package callable from – Examples and software Carlo (MCMC) methods and software for within R. In particular, we will illustrate their implementation,Bayesian methods the different ways a Bayesian might think Afternoon Session 1: have become ubiquitous in modern about power when designing a trial, biostatistical analysis. In submissions to and how a Bayesian procedure may be Bayesian design and analysis for the U.S. FDA Center for Devices and calibrated to guarantee good long-run Phase II Studies Radiological Health, where data on new frequentist performance (i.e., low Type – Standard designs: Phase IIA (single- devices are often scanty but researchers I and II error rates), a subject of keen arm) vs. Phase IIB (multi-arm) typically have access to large historical interest to the FDA. – Predictive Probability-based methods databases, Bayesian methods have been in common use for over a decade and Morning Session 1: – Sequential stopping: for futility, efficacy in fact were the subject of a recently- Introduction to Hierarchical Bayes – Multi-arm designs with adaptive released FDA guidance document. dose allocation Statisticians in earlier phases (especially Methods and Computing Phase I oncology trials) have long Bayesian inference: point and interval – Hierarchical Phase II models appreciated Bayes’ ability to get good estimation, model choice Bayesian and examples answers quickly. Moreover, an increasing computing: MCMC methods; Gibbs sampler; Metropolis-Hastings algorithm Hierarchical modeling and metaanalysis Principles of Bayesian clinical trial design: predictive probability, indifference zone, Bayesian and frequentist operating characteristics (power, Type I error)

67 Preliminary Program Afternoon Session 2: Bayesian Design and Analysis for Phase III Studies – Confirmatory trials – Adaptive confirmatory trials: adaptive sample size, futility analysis, arm dropping – Modeling and prediction – Examples from FDA-regulated trials

SHORT COURSES SHORT – Seamless Phase II-III trials – Multiplicity and Subset Analysis – Summary and Floor Discussion Students are invited to bring their own to adjust for patient heterogeneity in laptop computers to the session, and randomized clinical trials, to obtain tests to have the latest versions of WinBUGS that are more powerful and valid than and R already installed on these unadjusted treatment comparisons. computers. Both of these programs Models must be flexible enough to fit are freely available from www.mrc-bsu. nonlinear and non-additive relationships, cam.ac.uk/bugs/winbugs/contents.shtml but unless the sample size is enormous, and www.r-project.org respectively. The the approach to modeling must avoid presentation will assume familiarity with common problems with data mining or basic Bayesian methods and MCMC data dredging that result in overfitting algorithms, at the level of, say, Chapters and a failure of the predictive model to 2 and 3 of Carlin and Louis (2009) or validate on new subjects. Chapters 2, 3, 5, and 11 of Gelman et All standard regression models have al. (2004). The workshop’s goal is to data reduction, and interaction surfaces. assumptions that must be verified for the make these methods come alive in the Then a default overall modeling strategy model to have power to test hypotheses software through real data examples that will be described, with an eye towards and for it to be able to predict accurately. the students try for themselves during “safe data mining”. This is followed by Of the principal assumptions (linearity, the presentation. methods for graphically understanding additivity, distributional), this short course models (e.g., using nomograms) and will emphasize methods for assessing SC2 Regression Modeling using re-sampling to estimate a model’s and satisfying the first two. Practical likely performance on new data. Strategies but powerful tools are presented for Participants should have a good working FULL DAY: 8:00 am – 5:00 pm validating model assumptions and presenting model results. This course knowledge of multiple regression. Instructor: provides methods for estimating the The following articles might be read in Frank Harrell shape of the relationship between advance: Vanderbilt University School of Medicine predictors and response. – Harrell, Lee, Mark Description: The first part of the course presents Stat in Med Regression models are frequently the following elements of multivariable 15:361-387, 1996 used to develop diagnostic, prognostic, predictive modeling for a single response – Spanos, Harrell, Durack biomarker, and health resource utilization variable: using regression splines models in clinical, health services, JAMA to relax linearity assumptions, perils 262:2700-2707, 1989 outcomes, pharmacoeconomic, and of variable selection and overfitting, epidemiologic research, and in a – Some participants may want to where to spend degrees of freedom, multitude of non-health-related areas. read Chapters 1-5 and 10 of the shrinkage, imputation of missing data, Regression models are also used instructor’s book Regression Modeling Strategies (NY: Springer, 2001). See: biostat.mc.vanderbilt.edu/rms for more background information.

68 ENAR 2012 SPRING MEETING APRIL 1–4 SC3 Sensitivity Analysis with A key feature of the course is presenta- quantification of DNA methylation. As in Missing Data: Statistical tion of detailed case studies. We will all high throughput technologies, analysis Methods and Case Studies provide detailed background on two of NGS data requires statistical meth- recent randomized trials, compare and odology that appropriately accounts for FULL DAY: 8:00 am – 5:00 pm contrast potential methods of analysis, the stochastic nature of biology and data Instructors: demonstrate a specific analysis, and give generation processes. The half-day short Joseph Hogan guidelines on interpreting and reporting course will provide an introduction to the Brown University and results. Although we use randomized trials technology and its applications, a review Daniel Scharfstein to illustrate methods and concepts, the of the statistical issues related to each Johns Hopkins Bloomberg School principles taught in this course are ap- application, and statistical methods for a of Public Health plicable to observational studies as well. few typical applications including RNA- Description: seq, SNP-calling and DNA methylation. Missing data continues to be a concern SC4 Statistical Methods for Next It will also include hands-on exercise of in modern clinical trials and observational Generation Sequencing sequence mapping and statistical analy- sis. No textbook will be followed, but studies. The fundamental problem in HALF DAY: 8:00 am – 12:00 noon drawing inference from incomplete data handouts will be provided. Familiarity with is that assumptions about the distribution Instructors: R is a prerequisite and laptop computers of missing responses cannot be checked Zhijin (Jean) Wu are necessary for participants who wish empirically. Brown University to participate in the labs. Kasper D. Hansen Learning Objectives: In this course, we focus on the formula- Johns Hopkins Bloomberg School tion and interpretation of sensitivity analy- The participants are expected to gain of Public Health knowledge in the following areas: ses, wherein sensitivity of estimates and Rafael Irizarry inferences to assumptions about missing Johns Hopkins Bloomberg School 1. How data are obtained in NGS and data can be represented. Key concepts of Public Health sources of variation related to handling missing data will be Description: 2. Statistical issues in major applications reviewed, but the primary focus is on of NGS formulating and conducting sensitivity Next generation sequencing (NGS) analyses for reporting of treatment or technologies provide high throughput 3. Specific statistical methods that exposure effects. identification of DNA sequences. The provide practical results for selected popularity of NGS applications is rapidly applications increasing in biomedical research. These 4. Using R/bioconductor packages to applications include quantification of perform data analysis gene expression and identification of isoform variation (RNA-seq), detection of protein-DNA interaction locations (CHIP-seq), DNA variant detection and

69 Preliminary Program SC5 Latent Variable Models for data description and evaluating the SC7 The Statistical Impact Networks and Relational Data relationship between network and nodal on Biopharmaceutical Drug attribute data. Finally, we extend these HALF DAY: 1:00 pm – 5:00 pm Development of the ICH models in a variety of directions, such as Efficacy Guidelines Instructor: the identification of network communities Peter Hoff and the modeling of multivariate Instructor: University of Washington relational data, such as longitudinal Allan Sampson Description: networks. University of Pittsburgh Network and relational data structures Participants should be familiar with matrix HALF DAY: 1:00 pm – 5:00 pm have increasingly played a role in the algebra and the basics of likelihood Description: understanding of complex biological, estimation for a general statistical model. This four hour workshop will provide SHORT COURSES SHORT social and other relational systems. Sta- Familiarity with one or more of the an introduction to the International tistical models of such systems can give following would also be helpful but not Conference on Harmonization (ICH) descriptions of global relational features, necessary: Bayesian inference, factor Efficacy Guidelines, with the primary characterize local network structure, and analysis, linear regression, MCMC, data emphasis being on their statistical provide predictions for missing or future analysis with R. aspects. The ICH has issued a series relational data. of technical guidelines that have had Latent variable models are a popular SC6 Current Methods for a major impact on biopharmaceutical tool for describing network and Evaluating Prediction Performance research worldwide. This workshop is relational patterns. Many of these of Biomarkers and Tests intended to provide attendees with an models are based on well-known matrix overview of the set of guidelines that Instructor: decomposition methods, and thus focus on clinical trials. To familiarize Margaret Pepe have a rich mathematical framework attendees with the ICH, we begin with Fred Hutchinson Cancer upon which to build. Additionally, the a brief history concerning the ICH and Research Center parameters in these models are easy also summarize the current structures to interpret: Roughly speaking, a latent HALF DAY: 8:00 am – 12:00 noon of the biopharmaceutical regulatory variable model posits that the relationship Description: authorities of Europe, Japan and the US. between two nodes is a function of This course will describe and critique We will then proceed to consider the observed and unobserved (latent) methods for evaluating the performance main statistical considerations in the ICH characteristics, potentially in addition to of markers to predict risk of a current Efficacy Guidelines. Necessarily, with the contextual factors. or future clinical outcome. Examples exception of the E9 Guideline (“Statistical In this course we will cover the statistical from cancer, cardiovascular disease and Principles for Clinical Trials”), only the implementation and interpretation of kidney injury research will be presented. more important statistical highlights of latent variable modeling approaches Course content will include: these can be touched upon. The major focus of the workshop is on E9 and we to relational and network data. We first a. Three criteria for evaluating a risk will provide a detailed examination of this develop a mathematical justification for model: calibration, benefit for decision highly influential statistical guideline. This these models based on exchangeability making, accurate classification and symmetry considerations. We then workshop is intended for statisticians who review fitting algorithms and illustrate b. Comparing models have some familiarity with clinical trials several latent variable models in the c. Comparing baseline and expanded and who want to familiarize themselves context of hands-on statistical analysis models with the ICH and its effects upon the of several network datasets. We then statistics of biopharmaceutical clinical d. Hypothesis testing and confidence development. show how these models can be used interval construction to address a variety of statistical tasks, such as prediction and imputation, e. Risk reclassification analysis strategies f. Relationships and differences with assessing discrimination g. Software

70 ENAR 2012 SPRING MEETING APRIL 1–4 Tutorials – Monday, April 2 & Tuesday, April 3, 2012

REGISTRATION PAYMENT RECEIVED BY March 1 AFTER March 1

TUTORIALS T1 T2 T3 T4 T6 T6 T1 T2 T3 T4 T5 T6 MEMBER $ 75 $ 85 NONMEMBER $ 85 $ 95

T1: Methods for Reproducible that datasets and computer code be plex data objects. Cases discussed will Research in R made available to others for verifying include elements of mildly non-Euclidean published results and conducting alter- spaces, such as geometric manifolds Monday, April 2, 8:30 am – 10:15 am nate analyses. The tutorial will provide (e.g. shape spaces), and of strongly non- Instructor: an introduction to tools for conducting Euclidean spaces, such as populations Roger Peng reproducible research using R and of tree-structured data objects. These Johns Hopkins Bloomberg School LaTeX. We will focus on the R statistical new contexts for Object Oriented Data of Public Health computing language and will discuss Analysis create several potentially large Description: other tools that can be used for produc- new interfaces between mathematics The validity of conclusions from scientific ing reproducible documents. Topics that and statistics. investigations is typically strengthened by will be discussed include Sweave, literate the replication of results by independent programming, and efficient caching of T3: Comparative Effectiveness researchers. Full replication of a study’s large computations. Research: Opportunities and results using independent methods, Prerequisites: Challenges data, equipment, and protocols, has Knowledge of R and some familiarity with Monday, April 2, 1:45 – 3:30 pm long been, and will continue to be, the the LaTeX typesetting system. standard by which scientific claims are Instructor: evaluated. However, in many fields of T2: Object Oriented Data Analysis Sharon-Lise T. Normand study, there are examples of scientific Harvard Medical School and Monday, April 2 investigations which cannot be fully repli- Harvard School of Public Health 10:30 am – 12:15 pm cated, often because of a lack of time or Description: resources. For example, epidemiological Instructor: Comparative effectiveness research studies which examine large populations J. S. Marron (CER) “is the conduct and synthesis of and can potentially impact broad policy University of North Carolina research comparing the benefits and or regulatory decisions, often cannot Description: harms of different interventions and be fully replicated in the time frame Object Oriented Data Analysis is the strategies to prevent, diagnose, treat and necessary for making a specific decision. statistical analysis of populations of com- monitor health conditions in real world In such situations, there is a need for a plex objects. This tutorial will begin with settings.” As such, it includes a variety of minimum standard which can serve as building basic ideas in the special case an intermediate step between full replica- of Functional Data Analysis, where data tion and nothing. This minimum standard objects are curves. In that case standard NOTE: Wireless access will not be is reproducible research, which requires Euclidean approaches, such as principal available in the classroom and components analysis, have been very successful. participants should check the ENAR website (www.enar.org) for The latter part of the tutorial will draw its motivation from medical image analysis, instructions on download prior to which leads naturally to the statistical the meeting. analysis of populations of more com-

71 Preliminary Program statistical designs, including randomized trials, pragmatic trials, and observational studies. With the growth of electronic health records and registries, opportuni- ties to answer causal questions about therapies delivered in routine practice are increasing. Along with these opportuni-

TUTORIALS ties, however, new statistical problems arise. This tutorial will describe the rationale for CER, common designs and analytical tools for CER, illustrations, and new challenges for statisticians. Partici- pants should be familiar with randomized trials and regression techniques.

T4: Towards High-Performance Computing with R Monday, April 2, 3:45 – 5:30 pm T5: Slippery Slopes: A Practical required for successful implementation. Instructor: Introduction to Spatially Varying Results on data involving violent crime, John W. Emerson, Yale University Slopes in Regression Models illegal drug arrests, and alcohol sales Description: will be compared. Data and illustrative This tutorial assumes assumes some Tuesday, April 3, 8:30 – 10:15 am R and WinBUGS code will be provided basic familiarity with R but does not Instructor: to participants. require advanced knowledge. It will start Lance A. Waller by reviewing the pros and cons of the Rollins School of Public Health T6: Introduction to MATLAB for core data structures (vector, factor, list, Emory University Statisticians matrix, and data.frame) with an eye Description: Tuesday, April 3, 1:45 – 3:15 pm towards computational efficiency (speed Regression frameworks provide the basis Instructor: and memory consumption). We will for many statistical modeling methods. Wendy L. Martinez then learn about basic benchmarking The assumptions of independent, Gauss- Department of Defense with functions, loops, and loop alterna- ian errors, fixed associations across the tives (the apply family of functions, in data set, and constant variance provide Description: particular). This leads naturally to topics a comfortable arrangement leading to This course will provide a brief introduc- in high-performance computing, includ- many of our favorite tools for variable tion to MATLAB for statisticians. In the ing (a) foreach (and associated parallel selection, testing, and inference. With first part of the class, an overview and backends) for parallel programming; (b) geographically referenced data, we often demonstration of the MATLAB software an introduction to the C/C++ interface want to loosen each of these restrictions will be provided, to include the desktop and Rcpp; and (c) the use of shared allowing correlated, non-Gaussian errors, environment, programming tools, and memory and larger-than-RAM data sets. spatially varying associations, and hetero- basic graphics. In the remainder of the Participants are encouraged to download skedasticity. This tutorial will provide an class, free and commercial toolboxes that materials prior the tutorial and to work overview of recent modeling approaches would be of interest to statisticians will through the examples during the tutorial. to these settings including geographically be introduced. Examples of commercial weighted regression (GWR), hierar- packages include the Statistics, Curve chical modeling with random effects Fitting, and Bioinformatics toolboxes (random intercepts to induce spatial from The MathWorks. Examples of free correlation between observations and software are the Computational Statistics, random slopes to allow associations to Exploratory Data Analysis, and Data Visu- vary across space). It will compare and alization toolboxes. Time permitting, the contrast the assumptions, implementa- class will conclude with a brief discussion tion, and inference enabled by these of ways to connect MATLAB and R. two approaches. It will also explore the robustness of results and assumptions

72 ENAR 2012 SPRING MEETING APRIL 1–4 Roundtables – Monday, April 2, 2012

REGISTRATION IS REQUIRED $ 35

DESCRIPTIONS Register Early – Space is Limited

R1: Latent Variable Modeling of cally advanced by engagement in these in three different universities and schools. High-dimensional Mixed Data disciplines and others. But research at Professor Landis directs the Division of the science interface now requires more Biostatistics in Penn’s School of Medi- Discussion Leader: substantive knowledge to complement cine; Professor Louis is the former chair David Dunson the statistical training. In addition, the of the Division of Biostatistics, School of Duke University questions being asked demand new Public Health, University of Minnesota; ROUNDTABLE ROUNDTABLE Description: skills of statisticians, for example, com- and Professor Rosenberger chaired the It has become common to collect high- puting on large data sets. Department of Statistics, Eberly College dimensional data in biomedical studies This conversation will briefly review the of Science at Penn State. Discussion andSOLD models are needed forOUT character- core content of statistics and biostatis- topics will relate to navigating your izing dependence with relatively few pa- tics programs across the US and then professional career and include relative rameters. A very commonly used model discuss essential revisions of the core valuation of the teaching, research, and is the Gaussian latent factor model, to make PhD training maximally relevant service criteria, publication portfolio, which has been widely used for gene to science. grant funding and roles, necessary and expression data. However, latent factor sufficient service and the advantages of models are much more broad and can effective mentoring. Participants should R3: Navigating Promotion be applied not only for continuous data, be ready to pose questions and discuss such as gene expression, but for general and Tenure in Schools of their experiences and concerns. All mixed domain data including not only Medicine, Public Health, and should leave the roundtable with broad- simple cases (count, binary, categorical, Arts & Sciences ened perspectives and understanding of continuous) but also complex “object Discussion Leaders: the ingredients that will structure a career data” (functions, images, text, shapes, J. Richard Landis for success. etc). This roundtable will discuss recent University of Pennsylvania developments and applications of latent Tom Louis R4: Bayesian Statistics in variable models. Johns Hopkins Bloomberg School Clinical Trials and the Role of Public Health of the FDA R2: Data Science: Redesigning James Rosenberger Discussion Leader: Statistics PhD Programs to The Pennsylvania State University Gregory Campbell Enhance Relevance Description: U.S. Food and Drug Administration Discussion Leader: Academic biostatisticians and statisticians Description: Scott Zeger know well that promotion and tenure are Bayesian designs and analyses are part Johns Hopkins University awarded based on scholarship, educa- of an increasing number of premarket tion, and service. However, promotion Description: submissions to FDA. An initiative, begun and tenure criteria do vary amongst StatisticalSOLD expertise has neverOUT been in FDA’s Center for Devices and Radio- universities and schools within them. in greater demand, particularly at the logical Health more than ten years ago, Moreover, schools of arts and science, interface with sciences such as as- takes advantage of good prior informa- medicine, and public health have different tronomy, physics, economics, medicine, tion on safety and effectiveness that is cultures, potentially leading to variation in biology, and genetics. Throughout its often available for studies of the same or weighting of the scholarship, education history, statistics has been dramati- similar recent generation devices. A guid- and service components. Roundtable ance document on the use of Bayesian leaders will summarize and contrast their views on these issues from the perspec- tive of leading or having led a statistics department or a division of biostatistics

73 Preliminary Program statistics in medical device clinical trials, R6: Gender Issues in sources of bias can be introduced into finalized in 2010, explores not only the Academia and How to Balance such studies. This roundtable will provide use information from prior trials but also Work and Life a forum to discuss statistical methods designs that rely on no prior information to evaluate diagnostic medical tests for but are planned to adapt to accumulating Discussion Leader: specific intents of use. Specific uses in- evidence during the course of the trial. Francesca Dominici clude diagnosis in symptomatic subjects, The issue of simulation for Bayesian de- Harvard University screening of asymptomatic subjects, signs and software for Bayesian analyses SOLDDescription: OUT early detection, monitoring, risk assess- is discussed. A number of important les- Despite interventions by leaders in higher ment, prognosis, and tailoring of therapy. sons in the design, conduct and analysis To frame the scope of discussion, diag- ROUNDTABLES education, women are still under-repre- of clinical studies are explored, along sented in academic leadership positions. nostic tests can be defined as providing with possible implications for drug trials This dearth of women leaders is no results that are used alone or with other or studies of diagnostic tests. Insights longer a pipeline issue, raising questions information to help assess a subject’s into success are addressed as well as as to the root causes for the persistence past, present, or future health condition. challenges for the future. of this pattern. We have identified four Diagnostic tests include in vitro diag- themes as the root causes for the under- nostic tests (which examine specimens R5: Longitudinal Data Analysis, representation of women in leadership taken from the human body), diagnostic Functional Data Analysis, positions from focus group interviews of imaging systems (e.g., digital mammog- raphy), devices that provide biological Model Selection and Their Use senior women faculty leaders at Johns Hopkins. These causes are found in measurements (e.g., bone density, blood In Applications routine practices surrounding leadership glucose level, cardiac ejection fraction), Discussion Leader: selection as well as in cultural assump- and algorithms that combine subject data Naisyin Wang tions about leadership potential and to yield a classification, score, or index University of Michigan effectiveness. As part of this roundtable, (e.g,. the Framingham risk score, the Description: I will discuss these findings and I will Gail score, Genomic Health’s Oncotype There are many shared features between facilitate an informal discussion on how Dx assay). longitudinal and functional data analysis. to balance work and life. Lately there is interest from researchers R8: The Role of Statisticians in both areas to investigate how to bor- R7: Statistical Methods at the NIH row strengths from each other. We will to Evaluate Diagnostic Discussion Leaders: have a lively discussion on model build- Medical Tests Dean Follmann ing, model selection/regularization and Discussion Leader: National Institute of Allergy and how these issues matter conceptually Gene Pennello Infectious Diseases and in real-life applications. In particular, Food and Drug Administration Nilanjan Chatterjee we will discuss what could be the po- National Cancer Institute tential criteria to determine the simplicity SOLDDescription: OUT and flexibility of model, wherther these Statistical evaluation of diagnostic Description: criteria should be modified to adjust for medical tests may become increasingly Statisticians at the NIH have diverse roles data structure, and whether research- challenging because of growth in areas including collaborative research, over- ers should try to pursue a common such as personalized medicine, medical sight/monitoring of multi-center medical approach that fits both fields or should imaging, diagnostic software, and mobile experiments, consultation services, and customize methods for their distinctive applications. Statistical methods continue methodological research. NIH statisti- needs. Participants are also welcomed to to evolve to evaluate diagnostic tests for cians need strong methodological skills, send topics of interest to the discussion specific intents of use. A basic challenge superb communication, and the ability leader in advance so that handouts can with diagnostic performance studies to creatively attack problems. At the NIH be made and shared by all participants. is their observational nature. Typically, the diagnostic result is examined for its association with a reference result (e.g., presence or absence of disease). Because subjects are not randomized, associations may not be causal. Many

74 ENAR 2012 SPRING MEETING APRIL 1–4 there are two career paths; one is ment and implementation, with mixed focused more on methodological success. This roundtable will discuss research, has formal temporary positions statistical methodology research within and can culminate in tenure; the other the biopharmaceutical industry, focus- focuses more on collaborative research. ing on areas of ongoing and potential Topics to be discussed include typical interest, strategies used by companies career trajectories for visiting and perma- to promote and sustain methodology nent employees, what it takes to excel at groups, and the outlook for the future. NIH, the tenuring process, and the kinds of research studies statisticians conduct. ROUNDTABLES ROUNDTABLES R10: Beyond BMRD: Success in Dr. Follmann is the Chief of the Biosta- Statistical Grant Applications tistics Research Branch (extramural) at to Subject-Area Science Study the NIAID, and Dr. Chatterjee is the Chief of the Biostatistics Branch in the Division Sections at the NIH and NSF of Cancer Epidemiology and Genetics Discussion Leader: (intramural) at the NCI. Jun Liu SOLDHarvard University OUT R9: Conducting Methodological Description: Research in Statistics in the In these times of threat to research Biopharmaceutical Industry funding, developing a portfolio of grant options takes on increasing importance. Discussion Leader: In this roundtable, you will participate José Pinheiro in discussion of funding opportunities Johnson & Johnson PRD in subject-area science study sections Description: at the NIH and NSF. Your discussion The pipeline problem currently facing the leader, Jun Liu, will describe options pharmaceutical industry, with decreas- with promise beyond the Biostatisti- ing number of approved drugs and cal Methodology and Research Design escalating development costs, has led Study section, strategies for developing to renewed interest in innovative designs grant applications with appeal to inter- and analysis methods aimed at improv- disciplinary study sections, and insights ing the efficiency and overall success into the dynamics and procedures of rate of drug development programs. inter-disciplinary review. Participants will Adaptive designs, model-based drug be encouraged to share experiences development, and clinical trial simula- and engage in question-and-answer tions are examples of current areas of discussion. Professor Liu is a former IMS great methodological interest and activity Medallion and Bernoulli Lecturer and within the pharma industry. Although COPSS Presidents’ Award winner, among considerable amount of research in other honors, and a former member of biopharmaceutical statistics takes place the NIH GCAT (Genomics, Computational in academia, an increasing number of Biology and Technology) Study Section. statisticians in industry have played a leading role in methodological develop- ment in the field. Motivated by this, several companies have created groups dedicated to methodological develop-

75 Preliminary Program 76 ENAR 2012 SPRING MEETING APRIL 1–4 SPECIAL OPPORTUNITIES for Our Student Members

Participate in Student-Focused Elements of the Scientific Program Student Membership is The Sunday night mixer presents an ideal opportunity to obtain feedback on your Only $20 per Year! work in our Annual ENAR Poster ses- sion. This year we inaugurate a Poster Competition for the session. Prizes will Join ENAR Today at be announced within topical areas in the Tuesday morning Presidential Invited Address session. A student winner will be selected www.enar.org within each topical area. Watch for details ENAR STUDENT OPPORTUNITIES ENAR STUDENT on entering the competition on the website when the meeting registration goes live. Additionally in 2012 we will host our Don’t Forget the Popular ENAR first-ever student-organized Invited Paper Career Placement Services! Session. The session is being designed by (See pages 78 & 79) ENAR’s new Graduate Student and Recent Graduate Council. This Council has been Network with Your Fellow Students established by the ENAR Regional Advisory Back by popular demand, a student mixer Board to help ENAR better serve the needs will be held during the evening of Monday, of students and recent graduates. It will April 2. This is a great way to meet and plan activities to help advance students’ greet your students from other graduate education and careers, improve student programs. Don’t miss this opportunity to networking between institutions, and gener- begin building connections with your future ally support the scientific and professional colleagues and friends (see page 4). development of students and recent gradu- ates, especially those from smaller schools, Join Us for the Tuesday Evening international students, and minorities. Social Event Reduced registration fee offered to students Educational and Professional to attend (see page 5). Development Opportunities Be sure to take advantage of the edu- cational offerings to be held during the meeting – short courses, tutorials, and roundtable discussions. (see pages 67–75)

77 Preliminary Program HOURS OF OPERATION Sunday, April 1 4:00 pm – 6:30 pm Monday, April 2 9:30 am – 4:30 pm Tuesday, April 3 9:30 am – 3:30 pm

General Information and compiled books of listings for general Employer Registration The ENAR 2011 Career Placement Service use. However, to make most efficient use of The registration fee for employers includes helps match job seekers and employers. the new Placement Center, we recommend up to four position postings and up to 3 To improve efficiency and timeliness for that participants register listings in advance representatives. The ENAR Career Place- all (and perhaps save a few trees), the to maximize visibility, explore the database ment Center also offers the following placement service has been converted shortly before the meeting and, if attending, services during the meeting: have a laptop computer on-site. CAREER PLACEMENT SERVICES CAREER PLACEMENT from a paper-based system to an electronic All registered employers will receive full platform with on-site paper backup only. access to the placement center for up to The service includes online registration Employers 3 company representatives, up to 4 job and electronic uploading and distribution of Each year numerous qualified applicants, postings, pre-meeting access to the online applicant and employer materials through many approaching graduation, look to applicant database of resumes, and access the ENAR Placement Center to begin or a password-protected online web-based to the employer placement center room. facility. Visit the ENAR website at: further their careers. Organizations including www.enar.org/meetings/career_ government agencies, academic institu- Employer Resource Area center to register for the placement tions, and private pharmaceutical firms all ENAR will have internet access, comput- center. utilize the ENAR Career Placement Service. ers, and printers available in the employer Job announcements and applicant informa- ENAR recognizes the value the Career resource room for viewing the applicant tion will be readily accessed electroni- Placement Service provides to members resume database. However, for most cally, applicant information will be opened and, to make it more efficient and effec- efficient use we recommend employers before the meeting, and materials will tive for both employers and applicants, have on-site access to a personal laptop remain available online for some months has introduced electronic registration and computer. afterwards. As in previous years, there will an online database of applicant resumes. be separate large reading/planning rooms All registered employers will receive full Interview Suites for employers and applicants to review access to the placement center for up to For an additional fee, employers may materials, dedicated personnel and a paper 3 company representatives, up to 4 job reserve private interview suites each day message desk to assist Placement Service postings, pre-meeting access to the online on a first-come, first-served basis. users, and optional private interview rooms. applicant database of resumes, and access Employer and applicant reading/planning to the employer placement center room. rooms will provide small numbers of com- ENAR is also offering those organizations puters with Ethernet connections, printers, seeking private interview rooms the option to reserve a private room for interviews in 4-hour increments. Please note that if you are planning to interview and participate on- site, you must also register for the confer- ence and pay the meeting registration fee.

78 ENAR 2012 SPRING MEETING APRIL 1–4 EMPLOYER Registration Instructions, Deadlines, and Fees

RECEIVED ALL employers must FULLY complete an online BY March 16 AFTER March 16 Employer Form located at: Employer $ 500 $ 550 www.enar.org/meetings2012/career_center/index.cfm (3 reps/4 job postings) for each position listing. Attachments may be included. Private Inverview Room $ 250 n/a (Per 4-hour increments) Additional Representatives $ 100 $ 125 (Cost per person) Additional Job Postings $ 100 $ 125

CAREER PLACEMENT SERVICES CAREER PLACEMENT APPLICANT Registration Instructions, Deadlines, and Fees

DEADLINES ALL applicants must FULLY complete an online BY March 16 AFTER March 16 Applicant Form located at: Regular Registration $ 50 $ 60 www.enar.org/meetings2012/career_center/index.cfm Student Registration $ 25 $ 35 for each job classification.

Applicants to maximize visibility, explore the database Please note that if you are planning to If you have an interest in a career in shortly before the meeting and, if attending, interview and participate on-site you must biometrics, you can utilize the ENAR Career have a laptop computer on-site. If you are also register for the conference and pay the Placement Center to get started or get planning to interview and participate on-site meeting registration fee. ahead. Many employers attend the ENAR you must also register for the conference The ENAR Career Placement Center also Spring Meeting each year seeking qualified and pay the meeting registration fee. offers the following services to applicants: applicants. All registered applicants may register for up to three job classification Applicant Registration Visibility to Employers types, and receive full access to the place- The ENAR Career Placement Center Applicants who register by March 16, ment center applicant room and the online provides opportunities for qualified ap- 2012 will have their information included in employer job posting database. Please note plicants to meet employers and learn about the Online Applicant database made avail- that to fully utilize the online database, we organizations employing biostatisticians. able to all employers prior to the opening of recommend applicants register in advance the placement center.

Applicant Resource Area ENAR will have internet access, three computers, and printers in the applicant room for viewing the employer job posting database. However, for most efficient use we recommend applicants have on-site access to a personal laptop computer.

79 The International Biometric Society/Eastern North American Registration Form – Please print or type Region (ENAR), IMS and Sections of ASA – 2012 SPRING MEETING

FIRST NAME MIDDLE INITIAL LAST NAME

HIGHEST DEGREE:  BACHELORS  MASTERS  DOCTORATE OR MEDICAL DEGREE  OTHER

NAME FOR BADGE IF DIFFERENT SPOUSE/GUEST NAME FOR BADGE

ORGANIZATION

MAILING ADDRESS CITY STATE ZIP CODE COUNTRY

DAYTIME PHONE FAX E-MAIL

Membership in Participating Societies (Check all that apply.) Tutorials  ENAR  WNAR  ASA  IMS  IBS The tutorials will be held on Monday, April 2 & Tuesday, April 3. Meeting Fees (To be paid by all applicants.) Member Nonmember Registration fees, less a $100 administrative fee, will be refunded if written notice T1  $75 ($85 after 3/1)  $85 ($95 after 3/1) is received by March 1, 2012. Requests for refunds will not be honored after T2  $75 ($85 after 3/1)  $85 ($95 after 3/1) March 1, 2012. T3  $75 ($85 after 3/1)  $85 ($95 after 3/1) Meeting Registration T4  $75 ($85 after 3/1)  $85 ($95 after 3/1) T5  $75 ($85 after 3/1)  $85 $95 after 3/1)  ENAR/WNAR/IBS Member ( T6  $75 ($85 after 3/1)  $85 ($95 after 3/1) $335 ($375 after 3/1) $ ______Roundtables  ASA Member (not a member of ENAR/WNAR/IBS) The roundtables will be held on Monday, April 2. Space is limited. Preregistration $355 ($400 after 3/1) $ ______is required. Indicate the number of your 1st, 2nd, and 3rd choices:  IMS Member (not a member of ENAR/WNAR/IBS)

APRIL 1–4 SPRING MEETING APRIL 2012 ENAR 1st # ______2nd # ______3rd # ______$355 – $20 IMS contribution = $335 ($375 after 3/1) $ ______Fee: $35 $ ______ Nonmember (in any participating society) Please make lunch vegetarian  YES  NO $465 ($510 after 3/1) $ ______April 3, Tuesday Night Event & Dinner  Student (With letter from major professor verifying status.)  Regular $100 $ ______$150 ($160 after 3/1) $ ______ Student $45 $ ______ Nonmember Student (With letter from major professor verifying status.) Final Program – Go Green & Save! $185 ($200 after 3/1) $ ______I would like to receive the Final Abstract Book (please check one) in  Guest  Hard Copy  Go Green – Online Only (Deduct $ 5.00 from the total) $40 ($50 after 3/1) $ ______Membership Short Courses  YES, I want to renew my 2012 The short courses will be held on Sunday, April 1. (Indicate course number.) ENAR membership or become an ENAR member.  Member (participating society) SC ______SC ______q Regular Member: $90 – Includes electronic access to the Biometrics Journal, Full Day: $250 ($275 after 3/1) $ ______JABES Journal and Biometric Bulletin Newsletter Half Day: $160 ($185 after 3/1) $ ______q Regular Member: $100 – |ncludes print subscription of one journal, Second Half Day: $120 ($140 after 3/1) $ ______either q Biometrics Journal or q JABES Journal, and Biometric Bulletin newsletter  Nonmember* SC ______SC ______q Regular Member: $110 – Includes print subscriptions to Biometrics Journal, Full Day: $300 ($320 after 3/1) $ ______JABES Journal, and Biometric Bulletin newsletter Half Day: $200 ($225 after 3/1) $ ______q Student Member: $20 – Includes electronic access to the Biometrics Journal, Second Half Day: $160 ($185 after 3/1) $ ______JABES Journal and Biometric Bulletin Newsletter TOTAL PAYMENT $______

FORM OF PAYMENT  IMPORTANT: If you are paying by credit card and fax  Check  Money Order  MasterCard  Visa  AmEx your registration form, PLEASE DO NOT ALSO MAIL the form The check or money order should be in U.S. currency, payable to ENAR. – this may result in double payment. Credit Card Information QUESTIONS? Call 703-437-4377 OR e-mail [email protected]

NAME ON CARD SIGNATURE Return Registration Form with payment to: ENAR Conference Manager CARD NO. EXP. DATE ENAR/Wachovia | PO Box 758929 Baltimore, MD 21275-8929

80 ENAR 2012 SPRING MEETING APRIL 1–4 OR Fax 703-435-4390 The International Biometric Society/Eastern North American Hotel Registration Form Region (ENAR), IMS and Sections of ASA – 2012 SPRING MEETING Please print or type Reservation requests will be honored as space allows. You will receive confirmation directly from the hotel. The cutoff date to receive the ENAR group rate is March 5, 2012.

NAME

MAILING ADDRESS

CITY STATE ZIP CODE COUNTRY

DAYTIME PHONE FAX

Please Reserve ______Rooms For ______People.

Arrival Date ______Arrival Time ______Departure Date ______Check-in time is 3:00 pm; checkout time is noon.

Room Preferences q Single $189 q Double $200 q Smoking q Nonsmoking

q Special Needs APRIL 1–4 SPRING MEETING APRIL ENAR 2012 Person(s) sharing with 1.

2.

Reservations I am guaranteeing my reservation with the following:

q Check q Money Order q MasterCard q Visa q AmEx q Discover

CARD NO. EXP. DATE

SIGNATURE

Make Your Reservation Online! http://tiny.cc/hyatt_enar Return Hotel Registration Form with payment to: Hyatt Regency Washington on Capitol Hill 400 New Jersey Avenue, NW Washington, DC, USA 20001

OR Fax 202-737-5773 OR Call 202-737-1234

http://washingtonregency.hyatt.com

Be sure to mention you are with the ENAR SPRING MEETING 81 ENAR 2012 SPRING MEETING APRIL 1–4 The International Biometric Society Membership Application Eastern North American Region (ENAR) | 12100 Sunset Hills Road, Suite 130 | Reston, VA 20190 Tel: 703–437–4377 | Fax: 703–435–4390 | E-mail: [email protected]

Please check one: q New Member q Renewal Please print or type

NAME

DEGREE TITLE

ADDRESS

CITY STATE ZIP CODE COUNTRY

PHONE FAX EMAIL

Membership Type: q R egular Member: $90 Includes electronic access to the Biometrics Journal, JABES Journal and Biometric Bulletin Newsletter q R egular Member: $100 Includes print subscription of one journal, either q Biometrics Journal or q JABES Journal, and Biometric Bulletin newsletter q R egular Member: $ 110 Includes print subscriptions to Biometrics Journal, JABES Journal, and Biometric Bulletin newsletter q Supporting Member: $30 q S tudent Member: $20 Includes electronic access to the Biometrics Journal, JABES Journal and Biometric Bulletin Newsletter

I certify that ______is a full-time student.

Signature: ______Title: ______

A Regular Member who is a member of a Region/National Group, termed Region/Group [R], may elect to become a Supporting Member in another Region/ National Group, termed Region/National Group [S]. Supporting Members will pay the International portion of the dues once and pay the additional Regional dues only to Region/National Group [S]. A Regular Member may become a Supporting Member of more than one Region or National Group. A Regular Member At-large may also become a Supporting Member in a Region/National Group of their choice. Supporting Members may not vote or hold any office in Regions/ National Groups they support.

Please indicate two areas of interest: q Agriculture (01) q Genetics and Heredity (05) Natural Resources: q Animal and Veterinary Science (02) q Molecular Biology and Biotechnology (06) q Ecology (08) q Forestry (11) q Clinical Trials (03) q Toxicology (07) q Entomology (09) q Wildlife (12) q Epidemiology (04) q Fisheries (10)

Payment Information: q Enclosed is my check, payable to ENAR (Remittance accepted only in US currency) q Please charge my membership dues to: q Visa q MasterCard___ q AmEx

Card No.______Exp. Date: ______MAIL TO: Name on Card: ______Wachovia Bank/ENAR Signature: ______P.O. Box 758929 Baltimore, MD 21275-8929 82 MAIL TO: Wachovia Bank/ENAR P.O. Box 758929 Baltimore, MD 21275-8929 83 12100 Sunset Hills Road | Suite 130 | Reston, Virginia 20190 | Phone 703-437-4377 | Fax 703-435-4390