JSM 2016 Online Program

Keyword Search

Sessions Were Renumbered as of May 19.

Legend:
CC-W = McCormick Place Convention Center, West Building,   CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,   UC= Conference Chicago at University Center
* = applied session       ! = JSM meeting theme

Keyword Search Criteria: Longitudinal returned 128 record(s)

Sunday, 07/31/2016

Modeling Means and Variances Using Mixed-Effects Location Scale Models for Intensive Longitudinal Data
Donald Hedeker, The University of Chicago

Analysis of Longitudinal Multi-Sequence MRI in Multiple Sclerosis
Elizabeth M. Sweeney, Johns Hopkins Bloomberg School of Public Health ; Russell Shinohara, University of Pennsylvania; John Muschelli, The Johns Hopkins University; Daniel Reich , National Institute of Neurological Disorders and Stroke; Ciprian Crainiceanu, The Johns Hopkins University; Jonathan Gellar, Mathematica Policy Research; Philip Reiss, New York University/University of Haifa; Ani Eloyan, Brown University

Design and Analytic Considerations for the MEPS Longitudinal Insurance Component
David Kashihara, Agency for Healthcare Research and Quality; Frederick Rohde, Agency for Healthcare Research and Quality; Steve Machlin, Agency for Healthcare Research and Quality
2:25 PM

Estimating Longitudinal Covariance Structure in Functional Mapping of Quantitative Trait Loci
Ashwini Maurya, Michigan State University
2:35 PM

A Latent Variable Poisson Model for Assessing Regularity of Circadian Pattern Over Time
Sung Duk Kim, Eunice Kennedy Shriver National Institute of Child Health and Human Development; Paul Albert, Eunice Kennedy Shriver National Institute of Child Health and Human Development
2:50 PM

Bayesian Joint Modeling of Response Times with Dynamic Latent Ability in Educational Testing
Abhisek Saha, University of Connecticut; Xiaojing Wang, University of Connecticut; Dipak Dey, University of Connecticut
4:05 PM

Characterizing and Clustering an Adult Cystic Fibrosis Patient Population
Barbara Ann Bailey, San Diego State University
4:20 PM

Longitudinal Gaussian Graphical Models for Autism Risk Gene Detection
Kevin Lin, Carnegie Mellon University
4:20 PM

Copula Random Field with Application to Longitudinal Neuroimaging Data Analysis
Peter X. K. Song, University of Michigan; Jian Kang, University of Michigan
4:30 PM

Optimal Designs for Logistic Mixed Models Using Penalized Quasi-Likelihood Method
Wanchunzi Yu, Arizona State University; John Stufken, Arizona State University; Zhongshen Wang, Arizona State University
4:35 PM

Applying Post-Stratification Raking Adjustments to Survey Weights Using the High School Longitudinal Survey of 2009 (HSLS:09)
Austin Lasseter, Summit Consulting, LLC; Jonathan Phelan, American Institutes for Research
4:35 PM

Semiparametric GEE Model in Financial Market
Liu Yang, Florida State University
5:05 PM

Monday, 08/01/2016

Evaluation of Sensitivity of Statistical Methods That Assume Missing at Random
Takayuki Abe, Keio University School of Medicine; Kazuhito Shiosakai, Daiichi Sankyo Co.; Rachel Roberts, Keio University School of Medicine; Fumiya Sano, Keio University School of Medicine; Manabu Iwasaki, Seikei University

A Likelihood-Based Approach Using Shared Latent Random Variable Between Longitudinal Process and Censoring Mechanism
Miran Jaffa, American University of Beirut; Ayad A. Jaffa, American University of Beirut

Model Selection for Marginal Regression Analysis of Longitudinal Data with Missing Observations and Covariate Measurement Error
Chung Wei Shen

Dynamic Modeling with Conditional Quantile Trajectories for Longitudinal Snippet Data, with Application to Cognitive Decline of Alzheimer's Patients
Matthew Dawson, University of California at Davis; Hans-Georg Mueller, University of California at Davis

A Comparison of Bootstrap Methods for Multilevel Longitudinal Data
Lanlan Yao, Arizona State University; Mark Reiser, Arizona State University

Spatio-Temporal Regression for Longitudinally Acquired MRI Data
Arnab Hazra, North Carolina State University; Brian J. Reich, North Carolina State University; Ana-Maria Staicu, North Carolina State University

Using Mixed Model for Repeated Measures to Study the Changes of Physical Function for Breast Cancer Patients with Taxane-Based Chemotherapy
Xueliang Pan; Scott Monfort, The Ohio State University; Ajit Chaudhari, The Ohio State University; Maryam Lustberg, The Ohio State University

Efficient Estimation of Partially Linear Single-Index Models for Unbalanced Longitudinal Data
Quan Cai, Texas A&M University

Predicting Human Driving Behavior to Help Driverless Vehicles Drive: Random Intercept Bayesian Additive Regression Trees
Yaoyuan Vincent Tan, University of Michigan; Carol A. C. Flannagan, University of Michigan Transport Research Institute; Michael Elliott, University of Michigan

Review of Statistical Software for Joint Longitudinal and Time-to-Event Models
Allison Cullen, University of Michigan; Jeremy M. G. Taylor, University of Michigan; Ananda Sen, University of Michigan

Estimating Dynamic Characteristics of Longitudinal and Survival Data in Stochastic Process Models: Insights from Simulation Studies
Konstantin Arbeev, Duke University; Ilya Y. Zhbannikov, Duke University; Liubov S. Arbeeva, Duke University; Igor Akushevich, Duke University; Anatoliy I. Yashin, Duke University

Significance Tests for Time-Varying Covariate Effect in Longitudinal Functional Data
Saebitna Oh, North Carolina State University; Ana-Maria Staicu, North Carolina State University

Assessing Model Fit in Joint Models of Longitudinal and Survival Data with Applications to Cancer Clinical Trials
Joseph G. Ibrahim, The University of North Carolina at Chapel Hill; Ming-Hui Chen, University of Connecticut; Mark Boye, Eli Lilly and Company; Wei Shen, Eli Lilly and Company; Danjie Zhang, Gilead Pharmaceuticals
8:35 AM

Bayesian Joint Modeling of Longitudinal and Survival Data with Treatment Switches
Fan Zhang, University of Connecticut; Ming-Hui Chen, University of Connecticut; Qingxia Chen, Vanderbilt University; Xiuyu Julie Cong, Boehringer Ingelheim Pharmaceuticals
8:35 AM

Joint Modeling of Survival Time and Longitudinal Outcomes with Flexible Random Effects
Jianwen Cai, The University of North Carolina at Chapel Hill; Jaeun Choi, Albert Einstein College of Medicine; Donglin Zeng, The University of North Carolina at Chapel Hill; Andy Olshan, The University of North Carolina at Chapel Hill
9:00 AM

Mediation Analysis of High-Dimensional Human Microbiome Data in the Longitudinal Study
Huilin Li , New York University Langone Medical Center; Yilong Zhang, New York University; Martin J. Blaser, New York University
9:15 AM

Modeling Micronuclei Count Data Using the Generalized Monotone Incremental Forward Stagewise Method: Application in Women with Breast Cancer
Rebecca Lehman, Virginia Commonwealth University; Colleen Jackson-Cook, Virginia Commonwealth University; Kellie J. Archer, Virginia Commonwealth University
9:20 AM

A Flexible Joint Longitudinal-Survival Model for Quantifying the Association Between Serum Biomarkers and Mortality
Daniel Gillen, University of California at Irvine; Sepehr Arkhavan, University of California at Irvine; Babak Shahbaba, University of California at Irvine
9:25 AM

Community State Types and Major Shifts in the Microbiome
James Brooks, Virginia Commonwealth University
9:35 AM

On the Prognosis of Third Generation Migrants' Occupation-al Status in Germany
Dawid Bekalarczyk; Petra Stein, University of Duisburg-Essen
9:35 AM

Joint Modeling of Longitudinal and Survival Data with Missing and Left-Censored Time-Varying Covariates
Qingxia Chen, Vanderbilt University; Ryan May, The EMMES Corporation; Joseph G. Ibrahim, The University of North Carolina at Chapel Hill; Haitao Chu, University of Minnesota ; Stephen R. Cole, The University of North Carolina at Chapel Hill
9:50 AM

Significance Tests for Time-Varying Covariate Effect in Longitudinal Functional Data
Saebitna Oh, North Carolina State University; Ana-Maria Staicu, North Carolina State University
9:55 AM

Functional Mixed-Effects Models for Longitudinal Data: An Application to Electrical Impedance Myography Data
Kush Kapur, Boston Children's Hospital/Harvard Medical School; Rajesh Selukar, SAS Institute; Basil Darras, Boston Children's Hospital; Seward Rutkove, Beth Israel Deaconess Medical Center
10:05 AM

Tracing Pathways of Dependence: How Far Did We Get?
Nanny Wermuth, Johannes Gutenberg University/Chalmers University of Technology
10:35 AM

Discretized Longitudinal Data with Two Sources of Measurement Error
Amy Nussbaum, Southern Methodist University; Cornelis Potgieter, Southern Methodist University; Michael Chmielewski, Southern Methodist University
10:35 AM

A Model for Estimating Missing Items Score on Self-Reported Psychometric Scales
Balasubramani G.K., University of Pittsburgh; Stephen R. Wisniewski, University of Pittsburgh
11:05 AM

Binary Exposure and Longitudinal Cognition Outcomes in the Presence of Noningorable Dropout and Death
Maria Josefsson, CEDAR
11:35 AM

Accounting for Nonignorable Missingness in Longitudinal Brain Imaging Studies
Anders Lundquist, Umea University; Michael Daniels, The University of Texas at Austin; Xavier de Luna, Umea University; Lars Nyberg, Umea University
11:50 AM

Personalized Screening Intervals for Biomarkers Using Joint Models for Longitudinal and Survival Data
Dimitris Rizopoulos, Erasmus University Medical Center
2:05 PM

Joint Modeling of Correlated Binary Response and Longitudinal Covariates via Random Forest Applied to Glaucoma Progression Prediction
Juanjuan Fan, San Diego State University; Lucie Sharpsten, United Health Group; Xiaogang Su, The University of Texas at El Paso; Shaban Demirel, Devers Eye Institute; Richard Levine, San Diego State University
2:05 PM

Early Prediction of Alzheimer's Disease Using Longitudinal Volumetric MRI Data from ADNI
Yingjie Li, Michigan State University; Liangliang Zhang, Michigan State University; Tapabrata Maiti, Michigan State University; David C. Zhu, Michigan State University; Jongeun Choi, Michigan State University
2:20 PM

Functional Data Analysis Approach for Using Longitudinal Biomarker to Predict Disease Progression
Xuelin Huang, MD Anderson Cancer Center; Fangrong Yan, China Pharmaceutical University/MD Anderson Cancer Center; Xiao Lin, China Pharmaceutical University
2:30 PM

Optimal Split Questionnaire Survey Design in the Longitudinal Setting
Paul Michael Imbriano, University of Michigan; Trivellore Raghunathan, University of Michigan
2:45 PM

A Longitudinal Study of Broadway Show Success in a Hierarchical Bayes Framework
Lan Nygren, Rider University; Kjell Nygren, Navigant Consulting; Jeffrey Simonoff, New York University
2:50 PM

Auxiliary Variable Sampling Designs for Longitudinal Binary Data with Application to Spirometry-Based COPD Diagnosis
Jonathan Scott Schildcrout, Vanderbilt University
2:55 PM

Assessing Intra-Tumor Heterogeneity and Tracking Longitudinal and Spatial Clonal Evolution by Next-Generation Sequencing
Yuchao Jiang, University of Pennsylvania; Yu Qiu, University of Pennsylvania; Andy J. Minn, University of Pennsylvania; Nancy Zhang, University of Pennsylvania
3:05 PM

Efficient Subsampling of Expensive-to-Evaluate Longitudinal Outcomes
John Neuhaus, University of California at San Francisco; Charles McCulloch, University of California at San Francisco
3:20 PM

Longitudinal Network Prediction with Applications to Network-Based Interventions
Ravi Goyal, Mathematica Policy Research
3:20 PM

Tuesday, 08/02/2016

Maximum Likelihood or Generalized Estimating Equations: A Comparison in the Context of Proportional Odds Model for Ordinal Response
Xinkai Zhou, Statistics Core@UCLA

A Two-Step Approach to Analyze Longitudinal Structural Neuroimaging Data
Li Xing, Indiana University; Shanshan Li, Indiana University Fairbanks School of Public Health; Jaroslaw Harezlak, Indiana University Fairbanks School of Public Health

Modeling Correlated Longitudinal Processes, with One Process Partially Observed
Shuyang Li, University of California at Davis; Laurel A. Beckett, University of California at Davis

Mediation Analysis for Longitudinal Data Using Regression Calibration When the Mediator Is Measured with Error
John M. Ssenkusu, University of Minnesota; David Vock, University of Minnesota School of Public Health

Real-Time Modeling of Variation in Longitudinal Momentary Self-Report Data
Trent L. Lalonde, University of Northern Colorado; Elysia Clemens, University of Northern Colorado

Approaches for Improved Power with Generalized Estimating Equations in Small-Sample Longitudinal Study Settings
Philip Westgate, University of Kentucky; Woodrow Burchett, University of Kentucky
9:05 AM

Multilevel Multiple Imputation: Tipping Point Sensitivity Analysis Using the JOMO Package in R with Longitudinal Olympic Regeneration in East London (ORiEL) Data
Melanie Smuk, Queen Mary University of London; Matteo Quartagno, London School of Hygiene and Tropical Medicine; Charlotte Clark, Queen Mary University of London; Stephen Stansfeld, Queen Mary University of London; Steven Cummins, London School of Hygiene and Tropical Medicine
9:05 AM

Interim Go/No-Go Decision Making in Clinical Trials with Longitudinal Outcomes
Ming Zhou, Bristol-Myers Squibb; Qi Tang, AbbVie; Lixin Lang, Bristol-Myers Squibb; Jun Xing, Bristol-Myers Squibb; Kay Tatsuoka, Bristol-Myers Squibb
9:15 AM

Kernel Machine Statistical Approaches to Genetic Association Testing in Longitudinal Studies
Zuoheng Wang, Yale University; Zhong Wang, Cornell University
9:15 AM

Comparing Methods of Multiple Imputation for a Score-Variable Measured Repeatedly Over Time
Elizabeth L. McCabe, Boston University; Joseph M. Massaro, Boston University; Kathryn L. Lunetta, Boston University; Susan Cheng, Framingham Heart Study; Joanne M. Murabito, Framingham Heart Study; Martin G. Larson, Boston University
9:35 AM

Real-Time Modeling of Variation in Longitudinal Momentary Self-Report Data
Trent L. Lalonde, University of Northern Colorado; Elysia Clemens, University of Northern Colorado
9:50 AM

Using Regression Trees to Model Characteristics of Nonresponse and Measurement Error in a Longitudinal Survey
Morgan Earp, Bureau of Labor Statistics; Daniell Toth, Bureau of Labor Statistics; Polly Phipps, Bureau of Labor Statistics; Charlotte Oslund, Bureau of Labor Statistics
10:35 AM

Dynamic Child Growth Prediction: A Comparative Methods Approach
Andrada E. Ivanescu, Montclair State University; Ciprian Crainiceanu, The Johns Hopkins University; William Checkley, The Johns Hopkins University
11:15 AM

Dynamic Prediction of Alzheimer's Disease Risk Based on Longitudinal Biomarkers and Functional Data
Sheng Luo, The University of Texas at Houston; Kan Li, The University of Texas at Houston
11:55 AM

Detecting Treatment Differences in Group Sequential Longitudinal Studies with Covariate Adjustment
Neal Jeffries, National Heart, Lung, and Blood Institute; James Troendle, National Institutes of Health; Nancy L. Geller, National Heart, Lung, and Blood Institute
2:05 PM

Characterizing Child Growth Trajectories
Louise Ryan, University of Technology Sydney; - Team Members , Healthy Birth, Growth and Development knowledge integration (HBGDki) Community
2:05 PM

Inference for Nonlinear Panel/Longitudinal Data
Carles Breto, University of Michigan; Edward L. Ionides, University of Michigan; Aaron A. King, University of Michigan
2:20 PM

Bayesian Modeling of Between- and Within-Subject Variances Using Mixed Effects Location Scale Models for Intensive Longitudinal Data
Donald Hedeker, The University of Chicago; Robin J. Mermelstein, University of Illinois at Chicago; Xiaolei Lin, The University of Chicago
2:25 PM

Estimating Onset Time from Longitudinal Data with Application to Estimating Gestational Age from Maternal Anthropometry During Pregnancy
Ana Maria Ortega-Villa, Eunice Kennedy Shriver National Institute of Child Health and Human Development; Paul Albert, Eunice Kennedy Shriver National Institute of Child Health and Human Development
2:35 PM

Implementing Adaptive Design on a Longitudinal Survey of At-Risk Youth:Empirical Evidence Based on a Deep-Dive Analysis
Hanzhi Zhou, Mathematica Policy Research; Jillian Stein, Mathematica Policy Research
2:50 PM

Power Analysis for Longitudinal Data
Niloofar Ramezani, University of Northern Colorado
2:50 PM

Optimal Designs for Longitudinal Studies via Functional Data Analysis
Hao Ji, University of California at Davis; Hans-Georg Mueller, University of California at Davis
3:05 PM

Multivariate Copula-Based Regression Models for Longitudinal Data
Xin Tian, National Heart, Lung, and Blood Institute; Colin O. Wu, National Heart, Lung, and Blood Institute
3:05 PM

Generalized Semiparametric Varying-Coefficient Models for Longitudinal Data
Li Qi, Sanofi US; Yanqing Sun, The University of North Carolina at Charlotte; Peter Gilbert, Fred Hutchinson Cancer Research Center
3:20 PM

Multilevel Bayesian Latent Class Growth Mixture Model for Longitudinal Zero-Inflated Poisson Data
Kejia Wang, University of Southern California; Kiros Berhane, University of Southern California
3:20 PM

Functional Data Analysis for Sparse and Irregular Longitudinal MRI Measurements in the Developing Brain
Xiongtao Dai, Healthy Birth, Growth and Development knowledge integration (HBGDki) Community; Hans-Georg Mueller, University of California at Davis; Jane-Ling Wang, University of California at Davis
3:25 PM

Model Estimation and Dynamic Prediction for Subject-Specific Event Probability in Joint Modeling Using Longitudinal Quantile Regression
Ming Yang, The University of Texas Health Science Center at Houston; Sheng Luo, The University of Texas at Houston; Stacia DeSantis, The University of Texas Health Science Center at Houston
3:35 PM

Sample Design for Longitudinal Multiphase Samples with Misclassification
Andrea Piesse, Westat; Sharon Lohr, Westat
3:35 PM

Wednesday, 08/03/2016

Impact of Correlation Structure on Longitudinal Models Examining Effects of Psychiatric Diagnoses on Hospital Admissions for Pain in Children with Sickle Cell Disease
Mahua Dasgupta, Medical College of Wisconsin; Matthew P. Myrvik, MCW; Pippa Simpson, Medical College of Wisconsin; Raymond Hoffmann, Medical College of Wisconsin

Improved Methods for the Marginal Analysis of Longitudinal Data in the Presence of Time-Dependent Covariates
I-Chen Chen, University of Kentucky; Philip Westgate, University of Kentucky

Proportional Likelihood Ratio Mixed Model
Hongqian Wu, University of Iowa; Michael Jones, University of Iowa

Longitudinal Principal Component Analysis
Christopher Kinson, University of Illinois at Urbana-Champaign; Xiwei Tang, University of Illinois at Urbana-Champaign; Annie Qu, University of Illinois at Urbana-Champaign
8:35 AM

Semiparametric Estimation of Longitudinal Data with Nonignorable Attrition Using Refreshment Samples
Jianfei Zheng, Oregon State University; Lan Xue, Oregon State University
8:50 AM

Semiparametric Stochastic Mixed Models for Bivariate Periodic Longitudinal Data
Kexin Ji, University of Waterloo; Joel Dubin, University of Waterloo
9:05 AM

Improved Methods for the Marginal Analysis of Longitudinal Data in the Presence of Time-Dependent Covariates
I-Chen Chen, University of Kentucky; Philip Westgate, University of Kentucky
9:10 AM

Proportional Likelihood Ratio Mixed Model
Hongqian Wu, University of Iowa; Michael Jones, University of Iowa
9:15 AM

Cluster-Adjusted Regression for Displaced Subject Data (CARDS): Marginal Inference Under Potentially Informative Temporal Cluster Size Profiles
Somnath Datta, University of Florida; JOE BIBLE, National Institutes of Health; JAMES BECK, The University of North Carolina at Chapel Hill
9:15 AM

Historical Functional Cox Regression, with an Application to Prediction of Multiple Sclerosis Lesions
Philip Reiss, New York University; Elizabeth M. Sweeney, Johns Hopkins Bloomberg School of Public Health ; Jonathan Gellar, Mathematica Policy Research
9:15 AM

Continuous Time Causal Mediation Analysis with Application to Longitudinal Dental Caries Data
Jeffrey Albert, Case Western Reserve University; Yiying Liu, Case Western Reserve University; Suchitra Nelson, Case Western Reserve University
9:35 AM

Analysis of Asynchronous Longitudinal Data with Partially Linear Model
Li Chen, University of Missouri
9:35 AM

Unified Inference for Sparse and Dense Longitudinal Data in Time-Varying Coefficient Models
Yixin Chen, Sanofi; Weixin Yao, University of California at Riverside
9:50 AM

Functional Data Methods for Child Growth Data
Luo Xiao, North Carolina State University; Andrew Leroux, Johns Hopkins Bloomberg School of Public Health; William Checkley, The Johns Hopkins University; Ciprian Crainiceanu, The Johns Hopkins University
9:55 AM

A Dirichlet Process Mixture Model for Clustering Longitudinal Gene Expression Data
Jiehuan Sun, Yale University; Jose D. Herazo-Maya, Yale School of Medicine; Naftali Kaminski, Yale School of Medicine; Hongyu Zhao, Yale University; Joshua Warren, Yale University
10:05 AM

Multiple Imputation Method Based on Weighted Quantile Regression Models for Longitudinal Censored Biomarker Data with Missing Early Visits
MinJae Lee, The University of Texas Health Science Center at Houston ; Mohammad H. Rahbar, The University of Texas Health Science Center at Houston; John D. Reveille, The University of Texas Health Science Center at Houston ; Michael Weisman, Cedars-Sinai Medical Center; Michael M. Ward, National Institute of Arthritis and Musculoskeletal and Skin Diseases; Lianne Gensler, University of California at San Francisco; Matthew Brown, University of Queensland Diamantina Institute
10:05 AM

A Semiparametric Joint Model for Terminal Trend of Quality of Life and Survival in Palliative Care Research
Zhigang Li; H. Rob Frost, Dartmouth College; Lihui Zhao, Northwestern University; Lei Liu, Northwestern University; Kathleen Lyons, Dartmouth College; Huaihou Chen, University of Florida; Bernard Cole, University of Vermont; David Currow, Flinders University; Marie Bakitas, University of Alabama at Birmingham; Tor Tosteson, Dartmouth College
10:35 AM

An Estimating Equation Approach to Dimension Reduction in Longitudinal Data
Liping Zhu, Renmin University of China; Li Jin, Fudan University; Kelin Xu, Fudan University; Wensheng Guo, University of Pennsylvania Perelman School of Medicine; Momiao Xiong, The University of Texas Health Science Center at Houston
11:00 AM

Recurrent Competing Risks, Longitudinal Markers, and Terminal Events: Modeling and Analysis with Applications in the Physical and Engineering Sciences
Edsel Aldea Pena, University of South Carolina; Piaomu Liu, Bentley University
11:05 AM

Classification of Longitudinal Data Using P-Splines and Correlated Mixed-Effects Models Applied to Predict Pregnancy Outcomes
Cristian Meza, Universidad de Valparaiso; Ana Arribas-Gil, Universidad Carlos III de Madrid; Rolando De la Cruz, P. Universidad Católica de Valparaíso; Claudio Fuentes, Oregon State University
11:05 AM

Longitudinal Latent Space Network Model with VAR Evolution
Samrachana Adhikari, Carnegie Mellon University; Brian W. Junker, Carnegie Mellon University
11:25 AM

Joint Partially Linear Model for Longitudinal Data with Informative Drop-Outs
Sehee Kim, University of Michigan; Donglin Zeng, The University of North Carolina at Chapel Hill; Jeremy M. G. Taylor, University of Michigan
11:55 AM

A New Statistical Method for Longitudinal High-Dimensional Data Analysis
Yuping Zhang, University of Connecticut
2:25 PM

Thursday, 08/04/2016

Personalized Treatment for Longitudinal Data Using Unspecified Random-Effects Model
Hyunkuen Cho, Western Michigan University; Peng Wang, University of Cincinnati; Annie Qu, University of Illinois at Urbana-Champaign
8:35 AM

Joint Modeling of Longitudinal Cognitive Responses and Survival Time in an Alzheimer's Disease Cohort Study
Eveleen Darby, Baylor College of Medicine; Wenyaw Chan, The University of Texas Health Science Center at Houston; Elaine Symanski, The University of Texas Health Science Center at Houston; Rachelle S. Doody, Baylor College of Medicine
8:35 AM

Longitudinal Rasch Model in Harmonizing Adherence Recall Intervals
Yan Wang, University of California at Los Angeles; Honghu Liu, University of California at Los Angeles
8:50 AM

Clustering Alzheimer's Patients into 'Syndrome Groups' Using Longitudinal Biomarker and Cognitive Trajectories
Teresa Filshtein, University of California at Davis; Laurel A. Beckett, University of California at Davis
8:50 AM

Correcting for Measurement Error in Self-Reported Dietary Data from a Longitudinal Lifestyle Intervention Trial Using an External Validation Study
Juned Siddique, Northwestern University; Laurence Freedman, Gertner Institute for Epidemiology and Health Policy Research; Raymond Carroll, Texas A&M University; Trivellore Raghunathan, University of Michigan; Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
9:00 AM

Longitudinal Functional Data Analysis
So-Young Park, North Carolina State University; Ana-Maria Staicu, North Carolina State University
9:05 AM

A Hidden Markov Model Approach to Analyzing Longitudinal Alzheimer's Disease Stages Subject to Possible Misclassification
Julia Benoit, University of Houston; Wenyaw Chan, The University of Texas Health Science Center at Houston; Linda Piller, The University of Texas Health Science Center at Houston; Rachelle S. Doody, Baylor College of Medicine
9:05 AM

Methods for Joint Clustering of Longitudinal HIV Biomarker Trajectories in the Presence of Missing and Censored Observations
Miranda Lynch, University of Connecticut Health Center; Marianna Baum, Florida International University; Vladimir Novitsky, Harvard T.H. Chan School of Public Health; Victor De Gruttola, Harvard
9:20 AM

Development of a Neuroimaging Biomarker for Lesion Recovery in Multiple Sclerosis
Elizabeth M. Sweeney, Johns Hopkins Bloomberg School of Public Health ; Michelle Ross , University of Pennsylvania; John Muschelli, The Johns Hopkins University; Benjamin Risk , Statistical and Applied Mathematical Sciences Institute; Daniel Reich , National Institute of Neurological Disorders and Stroke; Ani Eloyan , Brown University; Ciprian Crainiceanu, The Johns Hopkins University; Russell Shinohara, University of Pennsylvania
9:25 AM

Survey of Income and Program Participation Case Prioritization Experiment Results
Gina Walejko, U.S. Census Bureau; Allison Zotti, U.S. Census Bureau
9:35 AM

Mediation Analysis of Multiple Sclerosis and Depression for Complex Longitudinal Clinical Data
Nathan Morris, Case Western Reserve University
9:50 AM

Clustering Longitudinal Unbalanced Data: An Application to the Early Childhood Growth Pattern
Md Hossain, Nemours Biomedical Research, A.I. DuPont Children's Hospital
9:50 AM

A Class of Semiparametric Models in Analysis of Adverse Events in Drug Safety
Richard Entsuah, Merck
10:35 AM

Bayesian Joint Modeling of Longitudinal Data on Frequency and Intensity of Drinking in Alcoholism Trials
Eugenia Buta, Yale University; Stephanie O'Malley, Yale University; Ralitza Gueorguieva, Yale University
10:35 AM

Longitudinal Study of NHDS Data Using NFCA for Aging Population
Junheng Ma, Case Western Reserve University; Jiayang Sun, Case Western Reserve University; Neal Dawson, Case Western Reserve University/MetroHealth Medical Center
10:35 AM

Individualizing Drug Dosage with Longitudinal Data
Xiaolu Zhu, University of Illinois at Urbana-Champaign; Annie Qu, University of Illinois at Urbana-Champaign
10:50 AM

Stable Balancing Weights for Marginal Structural Models
Maria de los Angeles Resa Juarez, Columbia University; Jose Zubizarreta, Columbia University
10:50 AM

Individualizing Prognosis of Disease Trajectories Using Longitudinal Electronic Medical Record Data: Application to Scleroderma
Suchi Saria, The Johns Hopkins University; Peter Schulam, The Johns Hopkins University
11:00 AM

Population-Averaged Model Versus Subject-Specific Model in the Longitudinal Binary Data Analysis
Hua Li, Novartis; Biswajit Sen , Novartis; David Ohlssen, Novartis
11:05 AM

Predicting Patient Cost Blooms: A Longitudinal Population-Based Study
Suzanne Tamang, Stanford University; Jean-Raymond Betterton, Stanford University; Lester Mackey, Stanford University; Lucas Jansen, Stanford University; Arnold Milstein, Stanford University; Henrik Sorensen, Aarhus University; Lars Pedersen, Aarhus University; Nigam Shah, Stanford University
11:35 AM

Improved Power in Crossover Designs Through Linear Combinations of Baselines
Thomas Jemielita; Mary Putt, University of Pennsylvania; Devan V. Mehrotra, Merck
11:35 AM

On Analysis of Longitudinal Clinical Trials with Missing Data Using Reference-Based Imputation
Lei Pang, Merck; Guanghan Liu, Merck Research Laboratories
11:50 AM

A Comparison of Model-Based and Data-Driven Methods for Clustering of Multivariate Longitudinal Data
Dawei Liu, Biogen ; Ih Chang, Biogen; Donald Johns, Biogen; Stacy Lindborg, Biogen
12:05 PM

JSM 2016 Online Program

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