DOCSLIB.ORG

Doctoral Degrees Conferred 2008–20009

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Doctoral Degrees Conferred 2008–20009 EXCERPTS FROM 2009 SECOND REPORT ANNUAL SURVEY OF THE MATHEMATICAL SCIENCES (AMS-ASA-IMS-MAA-SIAIM) Matteson, David, Statistical inference for multivariate Doctoral Degrees nonlinear time series. Rosenthal, Dale, W. R., Trade classification and nearly- Conferred 2008–20009 gamma random variables. Song, Minsun, Restricted parameter space models for Supplementary List testing gene-gene interactions. The following list supplements the list of thesis titles published in Zheng, Xinghua, Critical branching random walks and the February 2010 Notices, pages 281–301. spatial epidemic. Zibman, Chava, Adjusting for confounding in a semi- ALABAMA parametric Bayesian model of short term effects of air pollution on respiratory health. University of Alabama (4) INFORMATION SYSTEMS, STATisTICS AND MANAGEMENT IOWA SCIENCE University of Iowa (4) Alhammadi, Yousuf, Neural network control charts for STATisTICS AND ACTUARIAL SCIENCE Poisson processes. Ahn, Kwang Woo, Topics in statistical epidemiology. Anderson, Billie, Study of reject inference techniques. Devasher, Michael, An evaluation of optimal experimental Fang, Xiangming, Generalized additive models with designs subject to parameter uncertainty for properties correlated data. of compartmental models used in individual Hao, Xuemiao, Asymptotic tail probabilities in insurance pharmacokinetic studies. and finance. Song, Jung-Eun, Bayesian linear regression via partition. CALIFORNIA KENTUCKY California Institute of Technology (1) University of Louisville (1) BIOINFORMATICS AND BIOSTATisTICS CONTROL AND DYNAMICAL SYSTEMS Lan, Ling, Inference for multistate models. Shi, Ling, Resource optimization for networked estimator with guaranteed estimation quality. LOUISIANA University of California, Riverside (3 Tulane University (1) MATHEMATICS BIOSTATisTICS Alvarez, Vicente, A numercial computation of eigenfunctions for the Kusuoka laplacian on the Yi, Yeonjoo, Two part longitudinal models of zero heavy Sierpinski gasket. data. Childress, Scot Paul, Quantum measures, arithmetic coils, and generalized fractal strings. MASSCHUSETTS Wong, Chau Yim, On a class of commuting squares. Harvard University (8) University of California, Santa Cruz (1) STATisTICS MATHEMATICS Edlefsen, Paul, Profile HMMs for DNA sequence families: the Marks, Christopher, Classification of vecto-valued modu- conditional Baum-Welch and dynamical model-surgery lar forms of dimensions less than six. algorithms. Lenarcic, Alan, Bayesian two-glasso for the study of financial COLORADO contagion. Morgan, Charity, Assessing thought disordered University of Denver (1) behavior using finite mixture models and comparing MATHEMATICS approximations for logistic regression. Daly, Dan, Permutation patterns, reduced decompositions Olding, Benjamin, Methods of approximate inference: with few repetitions and the Bruhat order. applications to stochastic differential equations, video microscopy, and network data. ILLINOIS Zhang, Jing, Bayesian inference of interactions in biological problems. University of Chicago (8) Zhang, Tingting, Nonparametric studies of doubly stochastic poisson processes, binomial data, and high STATisTICS dimension, low sample size data. Atlason, Oli, Generalized parametric models. Zhang, Wei, Statistical methods for detecting expression De la Cruz Cabrera, Omar, Geometric approaches in the quantitative trait loci (eQTL). analysis of genetic data. Yuan, Yuan, Decoding gene expression regulation through Li, Yingying, Robustness of volalility estimations. Motif discovery and classification. © 20092010 American Mathematical Society, Notices of the AMS, August 20092010 1 ANNUAL SURVEY OF THE MATHEMATICAL SCIENCES (AMS-ASA-IMS-MAA-SIAM) EXCERPTS FROM 2009 SECOND REPORT MICHIGAN Neiman, Michael, Negative correlation and log-concavity. Nguyen, Luc, Singular harmonic maps into hyperbolic Michigan Technological University (3) spaces and applications to general relativity. MATHEMATICAL SCIENCES Rowland, Eric, Experimental methods applied to the computation of integer sequences. Tang, Rui, Statistical methods for genome-wide association study. Thanatipanonda, Thotsaporm, Symbolic-computational methods in combinatorial game theory and Ramsey Wang, Xuexia, Genetic association studies considering LD information and genome-wide application. theory. Ye, Zhan, Genetic association studies under the population Wang, Liming, Dynamics and asymptotic behaviors of stratification, family pedigree and application to genome- biochemical networks. wide association studies Wood, Philip, On the probability that a discrete complex random matrix is singular. MINNESOTA Stevens Institute of Technology (3) University of Minnesota (12) MATHEMATICAL SCIENCES SCHOOL OF MATHEMATICS Bussolari, Luca, Hyperbolic planar billiards with nearly flat Bellay, Jeremy, The stability and transitions of coherent focusing boundaries. structures on excitable and oscillatory media. Grechuk, Bogdan, Deviations measures: theory and Hiary, Ghaith, Fast methods to compute the Riemann Zeta application. function. Molyboha, Anton, Optimization approaches to sensor Korolev, Alexander, Large-distance asymptotics of steady- state incompressible fluid flows. placement for threat detection. Letang, Delia, Subconvexity bounds for automorphic L-functions on GL2. NEW YORK Li, Fang, Stability from the point of view of diffusion, relaxation and spatial inhomogeneity. Columbia University (3) Peterson, Jonathon, Limiting distributions and large BIOSTATisTICS deviations for random walks in random environments. Huang, Lin, Sequential test for right censored data with Rhoades, Brendon, Modeling and optimization of mortgage linear transformation models. loan portfolios. Tai, Wanling, Regularized estimation of covariance matrices Striker, Jessica, Poset and polytope perspectives on for longitudinal data through smoothing and shrinkage. alternating sign matrices. Valiquette, Francis, Applications of moving frames to Lie Wisnivesky, Juan, Instrumental variable estimation for pseudo-groups. survival data: evaluating the effectiveness radiation therapy for the treatment of lung cancer in the elderly in Xue, Chuan, Mathematical models of taxis-driven bacterial the presence of allocation bias. pattern formation. Yang, Jiaqi, Design and implementation of accurate and efficient integral equation methods with applications PENNSYLVANIA to ultrasound vibro-acoustography and geophysical propsection. Bryn Mawr College (1) Zhang, Wenliang, Lyubeznik numbers. MATHEMATICS Fukui, Ayako, Lp estimates for oscillatory singular integral NEW HAMPSHIRE operators and Marcinkiewicz integral operators. Dartmouth College (3) Drexel University (1) MATHEMATICS MATHEMATICS Brown, Jonathan, Proper actions of groupoids on C*- algebras. Coletta, Meredith, Integrability in optical design. Goehle, Geoff, Groupoid crossed products. Temple University (3) Mahoney, John, A composition formula for asymptotic morphisms. STATisTICS Miller, Charles William, Familywise robustness criteria NEW JERSEY revisited for newer multiple testing procedures. Rutgers The State University of New Wang, Luqiang, Contributions to estimation of measures for assessing rater reliability. Jersey (8) Yang, Zijiang, New step down procedures for control of the MATHEMATICS familywise error rate. Levitt, Ian, Some problems in extremal graph theory avoiding the use of the regularity lemma. Mau, Sikimeti, The multiplihedra in Lagrangian Floer theory. 2 © 20092010 American Mathematical Society, Notices of the AMS,, AugustAugust 20082010 ANNUAL SURVEY OF THE MATHEMATICAL SCIENCES (AMS-ASA-IMS-MAA-SIAM) EXCERPTS FROM 2009 SECOND REPORT NORTH CAROLINA Medical University of South Carolina (8) Duke University (8) DIVisiON OF BIOSTATisTICS AND EPIDEMIOLOGY MATHEMATICS Kirbach, Stephanie, The risk and consequences of Baron, Rann, Small Boolean networks. cerebrovascular events, mortality, and institutionalization Bendich, Paul, Analyzing stratified spaces using persistent among Alzheimers patients on anti-psychotic therapy. version of intersection and local homology. Miller, Scott, Handling treatment by covariate interactions Cooke, Ben, Theory and practice in replica-exchange in interim analyses of clinical trials. molecular dynamics simulation. Nowacki, Amy, Response-adaptive randomization in Dai, Shu, Bifurcations in the Echebarria-karma modulation neurological clinical trials: obstacles in application. equation for cardic alternans in one dimension. Ouyang, Bichun, Modeling and Bayesian analysis of Froehlich, Mihaela, Two coating problems: thin film rupture recurrent events and longitudinal data with dependent and spin coating. termination. Law, Jing, Approximately counting perfect and general Saunders, Lee, A population-based study of repetitive matchings in bipartite and general graphs. traumatic brain injury mortality. McCarthy, Janice, TL2 index theory and D-particle binding. Sims, Kellie, Sphingolipids are altered in aging yeast cultures Smith, Abraham, Integrability of second-order partial under caloric restriction. differential equations and the geometry of GL(2) Wilson, Dulaney, Health effects of plutonium exposure. structures. Zhang, Boshao, Two stage clonal expansion models of carcinogenesis for acute, continuous, and multiple RHODE ISLAND exposure with applications. Brown University (6) TEXAS MATHEMATICS Katz, Daniel, Sumfree subsets in cubes of arbitrary Baylor University (4) dimension. MATHEMATICS Liaw, Constanze, Singular integrals and rank one perturbations. Bruder, Andrea, Applied left-defined theory; the Jacobi polynomials, their Sobolev orthogonality
Load more

Recommended publications
  • Epidemiology and Public Health 2006–2007
    August 25, 2006 ale university 2007 – Number 11 bulletin of y Series 102 Epidemiology and Public Health 2006 bulletin of yale university August 25, 2006 Epidemiology and Public Health Periodicals postage paid New Haven, Connecticut 06520-8227 ct bulletin of yale university bulletin of yale New Haven Bulletin of Yale University The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and affirmatively seeks to attract Postmaster: Send address changes to Bulletin of Yale University, to its faculty, staff, and student body qualified persons of diverse backgrounds. In accordance with PO Box 208227, New Haven ct 06520-8227 this policy and as delineated by federal and Connecticut law, Yale does not discriminate in admis- sions, educational programs, or employment against any individual on account of that individual’s PO Box 208230, New Haven ct 06520-8230 sex, race, color, religion, age, disability, status as a special disabled veteran, veteran of the Vietnam Periodicals postage paid at New Haven, Connecticut era, or other covered veteran, or national or ethnic origin; nor does Yale discriminate on the basis of sexual orientation. Issued seventeen times a year: one time a year in May, November, and December; two times University policy is committed to affirmative action under law in employment of women, a year in June; three times a year in July and September; six times a year in August minority group members, individuals with disabilities, special disabled veterans, veterans of the Vietnam era, and other covered veterans. Managing Editor: Linda Koch Lorimer Inquiries concerning these policies may be referred to Valerie O.
    [Show full text]
  • Statistics: Challenges and Opportunities for the Twenty-First Century
    This is page i Printer: Opaque this Statistics: Challenges and Opportunities for the Twenty-First Century Edited by: Jon Kettenring, Bruce Lindsay, & David Siegmund Draft: 6 April 2003 ii This is page iii Printer: Opaque this Contents 1 Introduction 1 1.1 The workshop . 1 1.2 What is statistics? . 2 1.3 The statistical community . 3 1.4 Resources . 5 2 Historical Overview 7 3 Current Status 9 3.1 General overview . 9 3.1.1 The quality of the profession . 9 3.1.2 The size of the profession . 10 3.1.3 The Odom Report: Issues in mathematics and statistics 11 4 The Core of Statistics 15 4.1 Understanding core interactivity . 15 4.2 A detailed example of interplay . 18 4.3 A set of research challenges . 20 4.3.1 Scales of data . 20 4.3.2 Data reduction and compression. 21 4.3.3 Machine learning and neural networks . 21 4.3.4 Multivariate analysis for large p, small n. 21 4.3.5 Bayes and biased estimation . 22 4.3.6 Middle ground between proof and computational ex- periment. 22 4.4 Opportunities and needs for the core . 23 4.4.1 Adapting to data analysis outside the core . 23 4.4.2 Fragmentation of core research . 23 4.4.3 Growth in the professional needs. 24 4.4.4 Research funding . 24 4.4.5 A Possible Program . 24 5 Statistics in Science and Industry 27 5.1 Biological Sciences . 27 5.2 Engineering and Industry . 33 5.3 Geophysical and Environmental Sciences .
    [Show full text]
  • Changing Approaches and Perceptions: Biostatistics and Its Role in Teaching the Stellenbosch Doctor
    ICOTS-7, 2006: Mostert CHANGING APPROACHES AND PERCEPTIONS: BIOSTATISTICS AND ITS ROLE IN TEACHING THE STELLENBOSCH DOCTOR Paul Mostert Stellenbosch University, South Africa [email protected] The role of Biostatistics in Medicine and Health Care is sometimes only fully understood and appreciated by medical practitioners once they are fully qualified. Biostatistics and Epidemiology are also subjects in the medical curriculum that are disliked by most undergraduate students. The ‘Profile of the Stellenbosch doctor’ is a set of professional characteristics that every successful graduate possess, once they have qualified. The curriculum is therefore designed around this profile, where the Department of Statistics and Actuarial Science at Stellenbosch University in South Africa was one of the role players, especially with the introduction of a ‘golden thread.’ The negativity of our medical students towards Biostatistics is real and a lot of that blame can be assigned to the way we teach and what biostatisticians think should be covered in a syllabus. Students normally struggle with probability and its applications and by introducing Bayesian approaches to the analyses will further complicate their understanding thereof. INTRODUCTION AND BACKGROUND The medical practitioner in the 21st century will need a far greater ability to evaluate new information and technologies than in the past. A good understanding of Biostatistics and Epidemiology can improve clinical decision-making, programme evaluation and medical research with regard to both individuals and groups of people. The teaching and inclusion of Biostatistics in the medical curriculum at Stellenbosch University is regarded by the Medical Faculty and the South African Medical Council as fundamentally important.
    [Show full text]
  • ILCA Manual No. 3 Veterinary Epidemiology and Econo-M.Cs In
    ILCA Manual No. 3 Veterinary epidemiology and econo-m.cs in Africa A manual for use in the design and appraisal of livestock health policy S.N.H. Putt, A. P. NI. Shaw, A.J. Woods, L. Tyler and A.D. James International Livestock Centre for Africa , , " " - .. ............ I/I 7FA ,, ,- • .,. ..IL+L'.. ; ­ ;Uj.r. ", I'+++ + :.. .,,+ _ . ­ + .......... ..::''!:l,-Flt+ -+,+,,,"S,+)"-'++-'-.+++ +fli..P ....".. .."' ':........; 'Is' I / +++ A+-' . +.- I, +-1 I_..+:-;: P4 AM ---+ +.__..__. " _.. -'//j.. Al = ­ "Up -­ Veterinary epidemiology and economics in Africa A manual for use in the design and appraisal of livestock health policy S.N.H. Putt, A.P.M. Shaw, A.J. Woods, L. Tyler and A.D. James Veterinary Epidemiology and Economics Research Unit, Department of Agriculture, University of Reading, Reading, Berkshire, England First published in January 1987 Original English Designed and printed at ILCA Typeset on Linotype CRTronic 200 in Baskerville I lpt and Helvetica ISBN 92-9053-076-6 Acknowledgements ACKNOWLEDG MENTS This manual was prepared largely from notes on lectures given by the authors. Many ofthe concepts introduced in the manual are not new and can be found in most standard textbooks on epidemiology, economics and statistics. The authors wish to acknowledge in particular the contribution of Schwabe, Riemann and Franti's "Epidemiology in Veterinaiy Practice", Leech and Sellers' "StatisticalEpidemiology in Ve*orinaryScience" and Gittinger's "EconomicAnal­ )sis ofAgriculturalProjects",which provided inspiration for certain parts of this manual. iiiU Foreword FOREWORD The value ofepidemiological investigation as a basis for the treatment and control of animal disease has been recognised for many decades, but the need to apply economic techniques to the formulation afd assessment of disease control activities only became apparent about 15 years ago.
    [Show full text]
  • 2009-2011 Sph Catalog
    22000099--22001111 SSPPHH CCAATTAALLOOGG FFaallll 22001100 AADDDDEENNDDUUMM ADDENDUM TO THE UNIVERSITY OF TEXAS SCHOOL OF PUBLIC HEALTH AT HOUSTON 2009-2011 CATALOG ADDENDUM SECTION - Courses, Biostatistics Change from: PH 1600 Biostatistics I (previously PH 1610, offered from Fall 2009-Summer 2010) The Faculty in Biostatistics, 4 credits, a, b, cd This course is designed as the first biostatistics course for students who have not previously taken a course in Biostatistics; this course is a designated core course for M.P.H. students. This course introduces the devel- opment and application of statistical reasoning and methods in addressing, analyzing and solving problems in public health. Computer applications are included. Change to: PH 1690 Foundations of Biostatistics (previously PH 1610, offered from Fall 2009-Summer 2010) The Faculty in Biostatistics, 4 credits, a This course is designed as the first biostatistics course for students who have not previously taken a course in Biostatistics; this course is a designated core course for M.P.H. students. This course introduces the devel- opment and application of statistical reasoning and methods in addressing, analyzing and solving problems in public health. Computer applications are included. Change to page 49 Change from: PH 1700 Biostatistics II (previously PH 1725 and PH 1726, offered from Fall 2009-Summer 2010) The Faculty in Biostatistics, 4 credits, a, b, cd This course is required for a Biostatistics minor and for students in Biostatistics who have not previously tak- en courses in Biostatistics. This course extends the topics covered in Biostatistics I to provide a deeper foun- dation for data analysis, particularly focusing on its application on research problems of public health and the biological sciences.
    [Show full text]
  • JSM Diversity Workshop and Mentoring Program Agenda
    10th Anniversary 2019 JSM Diversity Workshop & Mentoring Program Developing Leaders, Growing Community, and Ensuring a Diverse Profession July 28, 2019 - July 31, 2019 Denver, Colorado Dear Colleagues: It is our pleasure to welcome you to the 2019 JSM Diversity Workshop and Mentoring Program. This year marks the 10th anniversary, and we are excited to celebrate 10 years of mentoring, skills development, networking, and growing community. We believe that this program helps to ensure a diverse profession by preparing statisticians of diverse backgrounds for career success and creating enduring mentoring relationships which can continue far beyond each conference. We have a truly outstanding program planned for you. Leaders from the private sector, government, and academia – including student leaders! – have all come to share their insights and experiences to help you on your journey as a statistics student or professional. They’ve come excited not only to share with you, but also to learn from you. This is a unique development opportunity. Please take full advantage of every minute. Ask questions. Share ideas. And take the time to meet others in this statistics community. If each of us leaves here having learned something that will direct our careers and having made personal contacts that will support us in the future, this will, indeed, be time well spent. Thank you for your presence and participation. If there is anything we can do for you while you’re here, please don’t hesitate to ask. Enjoy YOUR program! Sincerely, Brian A. Millen, Ph.D. and Dionne Swift, Ph.D. Co-chairs, 2019 JSM Diversity Workshop and Mentoring Program JSM Diversity Workshop and Mentoring Program Agenda All sessions will be held at Hyatt Regency Denver located 650 15th Street, Denver CO 80202, except where noted otherwise.
    [Show full text]
  • Epidemiology and Public Health 2005–2006
    ale university August 25, 2005 2006 – Number 11 bulletin of y Series 101 Epidemiology and Public Health 2005 bulletin of yale university August 25, 2005 Epidemiology and Public Health Periodicals postage paid New Haven, Connecticut 06520-8227 ct bulletin of yale university bulletin of yale New Haven Bulletin of Yale University The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and affirmatively seeks to attract Postmaster: Send address changes to Bulletin of Yale University, to its faculty, staff, and student body qualified persons of diverse backgrounds. In accordance with PO Box 208227, New Haven ct 06520-8227 this policy and as delineated by federal and Connecticut law, Yale does not discriminate in admis- sions, educational programs, or employment against any individual on account of that individual’s PO Box 208230, New Haven ct 06520-8230 sex, race, color, religion, age, disability, status as a special disabled veteran, veteran of the Vietnam Periodicals postage paid at New Haven, Connecticut era, or other covered veteran, or national or ethnic origin; nor does Yale discriminate on the basis of sexual orientation. Issued seventeen times a year: one time a year in May, November, and December; two times University policy is committed to affirmative action under law in employment of women, a year in June; three times a year in July and September; six times a year in August minority group members, individuals with disabilities, special disabled veterans, veterans of the Vietnam era, and other covered veterans. Managing Editor: Linda Koch Lorimer Inquiries concerning these policies may be referred to Valerie O.
    [Show full text]
  • Veterinary Epidemiology and Economics in Africa
    ILCA Manual No. 3 Veterinary epidemiology and economics in Africa A manual for use in the design and appraisal of livestock health policy S.N.H. Putt, A.P.M. Shaw, A J. Woods, L. Tyler and A.D. James International Livestock Centre for Africa •'— •"jOt^ "^f^-TT^W^^A. Veterinary epidemiology and economics in Africa A manual for use in the design and appraisal of livestock health policy S.N.H. Putt, A.P.M. Shaw, AJ. Woods, L. Tyler and A.D. James Veterinary Epidemiology and Economics Research Unit, Department of Agriculture, University of Reading, Reading, Berkshire, England First published in January 1987 Second edition, March 1988 Original English Designed and printed at ILCA Typeset on Linotype CRTronic 200 in Baskerville lOpt and Helvetica ISBN 92-9053-076-6 Acknowledgements ACKNOWLEDGEMENTS This manual was prepared largely from notes on lectures given by the authors. Many of the concepts introduced in the manual are not new and can be found in most standard textbooks on epidemiology, economics and statistics. The authors wish to acknowledge in particular the contribution of Schwabe, Riemann and Franti's "Epidemiology in Veterinary Practice", Leech and Sellers' "Statistical Epidemiology in Veterinary Science" And Gittinger's "Economic Anal ysis of Agricultural Projects", which provided inspiration for certain parts of this manual. "This One 49QX-EUE-2Y35 in Foreword FOREWORD The value of epidemiological investigation as a basis for the treatment and control of animal disease has been recognised for many decades, but the need to apply economic techniques to the formulation and assessment of disease control activities only became apparent about 15 years ago.
    [Show full text]
  • The Biostatistics Graduate Program at Boston University (MA/Phd)
    The Biostatistics Graduate Program at Boston University (MA/PhD) Program Handbook 2012-2013 Biostatistics Program Contacts Biostatistics Department Mathematics Department sph.bu.edu/biostatistics math.bu.edu [email protected] (p) 617-353-2560 (p) 617-638-5172 (f) 617-638-6484 MA/PhD Program Executive Co-Directors Ralph D’Agostino, PhD L. Adrienne Cupples, PhD [email protected] [email protected] 617-353-2767 617-638-5176 MA/PhD Program Co-Directors Howard Cabral, PhD, MPH Serkalem Demissie, PhD, MPH Gheorghe Doros, PhD [email protected] [email protected] [email protected] 617-638-5024 617-638-5249 617-638-5871 MPH Program Director MA/MPH Program Timothy Heeren, PhD David Gagnon, MD, PhD, MPH [email protected] [email protected] 617-638-5177 617-638-4457 Biostatistics Department Contacts Lisa Sullivan, PhD Josée Dupuis, PhD Virginia Quinn Department Chair Department Associate Chair Department Manager [email protected] [email protected] [email protected] 617-638-5047 617-638-5880 617-638-5847 Cynthia Korhonen MyHanh Tran, EdM Chary Ortiz Grants Manager Curriculum Coordinator Financial Administrator [email protected] [email protected] [email protected] 617-638-5802 617-638-5207 617-638-5172 Mission The mission of the Graduate School of Arts & Sciences (GRS) is the advancement of knowledge through research and scholarship, and the preparation of future researchers, scholars, college and university teachers, and other professionals. The mission of the Boston University School of Public Health is to improve the health of local, national and international populations, particularly the disadvantaged, underserved and vulnerable, through excellence and innovation in education, research and service.
    [Show full text]
  • Natural History of Diseases: Statistical Designs and Issues
    HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Clin Pharmacol Manuscript Author Ther. Author Manuscript Author manuscript; available in PMC 2017 October 01. Published in final edited form as: Clin Pharmacol Ther. 2016 October ; 100(4): 353–361. doi:10.1002/cpt.423. Natural History of Diseases: Statistical Designs and Issues Nicholas P. Jewell School of Public Health & Department of Statistics, University of California, 107 Haviland Hall, MC 7358, Berkeley, CA 94611, 510-642-4627 Nicholas P. Jewell: [email protected] Abstract Understanding the natural history of a disease is an important prerequisite for designing studies that assess the impact of interventions, both chemotherapeutic and environmental, on the initiation and expression of the condition. Identification of biomarkers that mark disease progression may provide important indicators for drug targets and surrogate outcomes for clinical trials. However, collecting and visualizing data on natural history is challenging in part because disease processes are complex and evolve in different chronological periods for different subjects. Various epidemiological designs are used to elucidate components of the natural history process. We briefly discuss statistical issues, limitations and challenges associated with various epidemiological designs. Posada de la Paz and his colleagues1 define the natural history of a disease as the “natural course of a disease from the time immediately prior to its inception, progressing, through its presymptomatic phase and different clinical stages to the point where it has ended and the patient is either cured, chronically disabled or dead without external intervention.” By “natural course” they mean here that no external intervention is applied that might change this pathway from health to disease to expression: possible interventions include preventative health measures (designed to stop or delay disease initiation), and treatment for symptoms (designed to change or delay the expression of a disease).
    [Show full text]
  • 2019 Statfest Program
    vvv StatFest 2019 A One-Day Conference for Undergraduate Students September 21, 2019 The University of Texas Health Science Center at Houston (UT Health) Welcome! Dear Student: It is our pleasure to welcome you to the StatFest 2019 conference. We have an outstanding day planned for you. Leaders from academia, government, and the private sector have all come to share their insights and experiences with a goal of helping you understand the tremendous opportunities available in the statistical sciences. This day is all about you! Take full advantage of this unique opportunity. Ask questions. Introduce yourself to speakers. Take the time to meet other students. If each of you leaves here having learned something that will direct your career path and having made personal contacts that will support you in the future, then this will, indeed, be a great day. Thank you for your presence today. If there is anything we can do for you while you’re here, please don’t hesitate to ask. Enjoy YOUR day! Sincerely, StatFest 2019 Organizing Committee 2 The University of Texas Health Science Center at Houston The University of Texas Health Science Center at Houston (UTHealth) School of Public Health works to improve the state of public health in Texas every day. Each of our six campuses is strategically placed to meet the public health education and research needs of the diverse populations across Texas. The Houston campus is located in the heart of the largest medical center in the world, the Houston’s Texas Medical Center. UTHealth offers students unmatched opportunities for research and employment across the state.
    [Show full text]
  • Networks and the Epidemiology of Infectious Disease
    Networks and the Epidemiology of Infectious Disease Leon Danon1 Ashley P. Ford2 Thomas House3 Chris P. Jewell2 Matt J. Keeling1,3 Gareth O. Roberts2 Joshua V. Ross4 Matthew C. Vernon1 All authors contributed equally to this manuscript. 1 Dept of Biological Sciences, University of Warwick, Coventry, CV4 7AL, UK. 2 Dept of Statistics, University of Warwick, Coventry, CV4 7AL, UK. 3 Warwick Mathematics Institute, University of Warwick, Coventry, CV4 7AL, UK. 4 School of Mathematical Sciences, University of Adelaide, SA 5005, Australia. 1 Introduction The science of networks has revolutionised research into the dynamics of interact- ing elements. The associated techniques have had a huge impact in a range of fields, from computer science to neurology, from social science to statistical physics. How- ever, it could be argued that epidemiology has embraced the potential of network the- ory more than any other discipline. There is an extremely close relationship between epidemiology and network theory that dates back to the mid-1980s (Klovdahl, 1985; May and Anderson, 1987). This is because the connections between individuals (or groups of individuals) that allow an infectious disease to propagate naturally define a network, while the network that is generated provides insights into the epidemiological dynamics. In particular, an understanding of the structure of the transmission network allows us to improve predictions of the likely distribution of infection and the early growth of infection (following invasion), as well as allowing the simulation of the full dynamics. However the interplay between networks and epidemiology goes further; because the network defines potential transmission routes, knowledge of its structure can be used as part of disease control.
    [Show full text]