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Keyword Search Criteria: Longitudinal returned 133 record(s)
Sunday, 07/30/2017
A Longitudinal Analysis of PPI Response and Nonresponse Patterns
Joseph Valentine, U.S. Bureau of Labor Statistics
2:20 PM

Expanding the Survey of Doctorate Recipients
Wan-Ying Chang, NSF/NCSES; Daniel Foley, NSF/NCSES; Karen Grigorian, NORC; Michael Yang, NORC; Lance Selfa, NORC
2:25 PM

Spatio-Temporal Balanced Sampling Design for Longitudinal Natural Resources Survey
Zhengyuan Zhu, Iowa State University
2:30 PM

A Mechanistic Nonlinear Model for Censored and Mis-Measured Covariates in Longitudinal Models, with Application in AIDS Studies
Hongbin Zhang, CUNY (SPH); Hubert Wong, CIHR CTN; Lang Wu, UBC
2:35 PM

Re-Envisioning and Re-Building the Survey of Income and Program Participation
Jason Fields, U.S. Census Bureau
2:45 PM

A Longitudinal Model for Functional Connectivity Using fMRI
Brian Hart, University of Minnesota-Div of Biostatistics; Ivor Cribben, University of Alberta; Mark Fiecas, University of Minnesota
4:05 PM

The Effects of White Matter Disease on the Automated Brain Segmentation in an Alzheimer's Disease Population
Dana Tudorascu; Helmet Karim, University of Pittsburgh; Lea Alhilali, Barrow Neurological Institute, ; Oscar Lopez, University of Pittsburgh; Howard Aizenstein, University of Pittsburgh; Bill Klunk, University of Pittsburgh; Ciprian M Crainiceanu, Johns Hopkins University
4:05 PM

On the Use of Multiple Criteria to Select a Working Correlation Structure for Use Within Generalized Estimating Equations
Philip M. Westgate, University of Kentucky
4:20 PM

A Joint Logistic Regression and Covariate-Adjusted Continuous-Time Markov Chain Model with Application in Predicting 6-Month Outcome After Traumatic Brain Injury
Maria Laura Rubin, Department of Biostatistics, University of Texas Health Science Center at Houston ; Wenyaw Chan, University of Texas Health Science Center at Houston School of Public Health; Jose-Miguel Yamal, University of Texas Health Science Center School of Public Health; Claudia Sue Robertson, Department of Neurosurgery, Baylor College of Medicine
4:20 PM

What Happens Before Cognitive Impairment? Brain Aging Revealed by Neuroimaging.
Laurel Beckett; Teresa Filshtein, University of California, Davis; Cathy Wang, Harvard University, Dept of Biostatistics
4:25 PM

Using Longitudinal Biomarker Data to Dynamically Predict Time to Disease Progression
Xuelin Huang, M D Anderson Cancer Center; Fangrong Yan, China Pharmaceutical Univeristy; Ruosha Li, University of Texas Health Science Center at Houston; Jing Ning, University of Texas MD Anderson Cancer Center; Xiao Lin, China Pharmaceutical University/MD Anderson Cancer Center
4:30 PM

Regularity of a Renewal Process Estimated from Binary Data
John Rice, University of Rochester; Robert Strawderman, University of Rochester; Brent A. Johnson, University of Rochester
4:35 PM

Trajectory Models Revisited
Elena Erosheva, University of Washington ; Bryan D. Martin, University of Washington; Ross L. Matsueda, University of Washington
4:50 PM

Extracting Scalar Measures from Longitudinal Trajectories: Applications to Placebo Response
Thaddeus Tarpey, Wright State University; Eva Petkova, New York University School of Medicine; R. Todd Ogden, Department of Biostatistics, Columbia University; Adam Ciarleglio, Columbia
4:50 PM

Methods to Detect and Eliminate Outliers in Longitudinal Childhood Obesity Data
Mallik Rettiganti, University of Arkansas for Medical Sciences; Avishek Chakraborty, University of Arkansas; Anthony Goudie, University of Arkansas for Medical Sciences
5:05 PM

Exploring the Relationship Between Students' Attitudes and Achievement in an Introductory Biostatistics Course
Kaitlin Dio, University of Rhode Island; Natallia V Katenka, University of Rhode Island
5:05 PM

Test of Adaptive Survey Design from a Bayesian Perspective in a Longitudinal Survey
Peter Lundquist, Statistics Sweden; Anton Johansson, Statistics Sweden; Gabriele Durrant, University of Southampton
5:20 PM

Differences in Estimation Between the Longitudinal Model and the Longitudinal Portion of the Joint Model
Kendra Plourde, Boston University; Yorghos Tripodis, Boston University; Elizabeth Rose Mayeda, University of California
5:20 PM

Nonparametric estimation of time-variant quantiles and statistical models
Jessica Rudd, Kennesaw State University; Mohammed Chowdhury, Kennesaw State University
5:35 PM

Monday, 07/31/2017
An Evaluation of Multiple Imputation Methods for Hierarchical Data
Takayuki Abe, Keio University School of Medicine; Manabu Iwasaki, Seikei University


Constrained Longitudinal Model for Analyzing Pre- and Post-Treatment Count Data
Yongming Qu, Eli Lilly and Company; Junxiang Luo, Eli Lilly and Company; Hong Zhao, Abbott Laboratories


Joint Modeling of Longitudinal Trajectories and Censoring Mechanism Using Shared Latent Random Variables
Miran Jaffa, American University of Beirut; Ayad A Jaffa, American University of Beirut


Monte Carlo Simulation for Longitudinal Studies with Co-Primary Endpoints
Simcha Pollack


Local Odds Ratio Is More Efficient Than Correlation Coefficient For Modeling Longitudinal Ordinal Data
Xinkai Zhou, Statistics Core@UCLA; Ronghui Xu, University of California, San Diego; David Elashoff, University of California, Los Angeles


Using an Onset-Anchored Bayesian Hierarchical Model to Improve Predictions for Amyotrophic Lateral Sclerosis Disease Progression
Alex Karanevich


Dynamic Prediction of Acute Graft-Versus-Host Disease (AGVHD) Using Longitudinal Biomarkers
Yumeng Li


A Modified LOCF-PMM Method with Multiple Imputation for Handling Missing Data in Longitudinal Studies
Busola Sanusi, The University of North Carolina at Chapel Hill; Kenneth Liu, Merck & Co.; Gregory Golm, Merck & Co., Inc.


Linear Mixed Effects Model Approach to Analyze Change in Tumor Growth of Colorectal Cancer Mouse Model.
Ramu G Sudhagoni, The University of South Dakota; Khosrow Rezvani, The University of South Dakota; Jessica Freeling, The University of South Dakota


Using Statistical Learning to Develop a More Sensitive Outcome for Progressive Multiple Sclerosis
Christopher Barbour, Montana State University; Mark Greenwood, Montana State University; Peter Kosa, National Institute of Neurological Disorders and Stroke, National Institutes of Health; Danish Ghazali, National Institute of Neurological Disorders and Stroke, National Institutes of Health; Makoto Tanigawa, National Institute of Neurological Disorders and Stroke, National Institutes of Health; Blake Snyder, National Institute of Neurological Disorders and Stroke, National Institutes of Health; Bibiana Bielekova, National Institute of Neurological Disorders and Stroke, National Institutes of Health


A Joint Model for Mixed and Censored Longitudinal Data and Survival Data, with Application to HIV Vaccine Studies
Tingting Yu; Lang Wu, UBC; Peter Gilbert, Fred Hutchinson Cancer Research Center


Selecting Classification Types for Time-Dependent Covariates to Improve the Marginal Analysis of Longitudinal Data
I-Chen Chen, University of Kentucky; Philip M. Westgate, University of Kentucky


Testing the Adequacy of Linear Mixed Effects Models
Stephanie Chen, North Carolina State University; Luo Xiao, North Carolina State University; Ana-Maria Staicu, North Carolina State University, Department of Statistics


Smoothing Splines Approach for Longitudinal Analysis of Functional Outcomes
Kush Kapur, Boston Children's Hospital, Harvard Medical School; Rajesh Selukar, SAS Institute Inc; Basil Darras, Boston Children's Hospital, Harvard Medical School; Seward Rutkove, Beth Israel Deaconess Medical Center, Harvard Medical School


A Terminal Trend Model for Longitudinal Medical Cost Data and Survival
Qian Yang, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Tor D. Tosteson, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Anna N. A. Tosteson, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Jeffrey C. Munson, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Zhigang Li, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire


Longitudinally Measured Predictors: Approaches for Sufficient Dimension Reduction
Efstathia Bura, TU Wien; Liliana Forzani, Universidad Nacional del Litoral; Ruth Pfeiffer , National Cancer Institute, NIH, HHS
8:35 AM

Estimating Vaccine Effects in Longitudinal Studies of Interconnected Populations
Forrest W Crawford, Yale School of Public Health
8:55 AM

A Multiple Imputation Method Based on Bayesian Quantile Regression Model for Handling Intermittent Missing Data
MinJae Lee, The University of Texas Health Science Center at Houston; Mohammad Rahbar, University of Texas Health Science Center at Houston; John Reveille, The University of Texas Health Science Center at Houston; Michael Weisman , Cedars-Sinai Medical Center; Michael Ward, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)/NIH; Lianne Gensler, University of California, San Francisco; Matthew Brown, Queensland University of Technology
9:05 AM

Semiparametric Estimation of Longitudinal Data with Nonignorable Attrition Using Refreshment Samples
Lan Xue, Oregon State University; Jianfei Zheng, Oregon State University
9:15 AM

Adjusting for Mode Effects in Longitudinal Studies Utilizing a Bayesian Prior on Within Subject Correlation
Heather Kitada, Oregon State University; Sarah C Emerson, Oregon State University; Claudio Fuentes, Oregon State University
9:50 AM

Improving Dynamic Predictions from Joint Models of Longitudinal and Survival Data Using Time-Varying Effects
Dimitris Rizopoulos, Erasmus University Medical Center
10:35 AM

A Comparison of Some Bootstrap Methods for Mixed Model Analysis of Non-Normal Longitudinal Data
Mark Reiser, Arizona State University
10:35 AM

Selecting Classification Types for Time-Dependent Covariates to Improve the Marginal Analysis of Longitudinal Data
I-Chen Chen, University of Kentucky; Philip M. Westgate, University of Kentucky
10:40 AM

Smoothing Splines Approach for Longitudinal Analysis of Functional Outcomes
Kush Kapur, Boston Children's Hospital, Harvard Medical School; Rajesh Selukar, SAS Institute Inc; Basil Darras, Boston Children's Hospital, Harvard Medical School; Seward Rutkove, Beth Israel Deaconess Medical Center, Harvard Medical School
10:50 AM

Nonparametric Covariance Estimation for Longitudinal Data via Tensor Product Smoothing
Tayler Blake, Information Control Company; Yoonkyung Lee, The Ohio State University
10:50 AM

Predicting Sample Attrition in a National Study of Medicare Beneficiaries
Christopher Ward, NORC; Rebecca Reimer, NORC; Shannon Corcoran, Centers for Medicare and Medicaid Services; Nicholas Schluterman, Centers for Medicare and Medicaid Services
10:50 AM

Risk Prediction from the Combination of Longitudinal Biomarkers Subject to Informative Missingness
Jiwei Zhao, State University of New York at Buffalo
10:55 AM

Segmentation of Longitudinal Images Using Total Variation Regulation
Yuan Wang, Washington State University
11:15 AM

Boosted Multivariate Trees for Longitudinal Data
Amol Pande; Liang Li, University of Texas MD Anderson Cancer Center; Jeevanantham Rajeswaran , Cleveland Clinic Foundation; John Ehrlinger, Cleveland Clinic Foundation; Udaya Kogalur, Cleveland Clinic Foundation; Eugene Blackstone , Cleveland Clinic Foundation; Hemant Ishwaran, University of Miami
11:20 AM

A Terminal Trend Model for Longitudinal Medical Cost Data and Survival
Qian Yang, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Tor D. Tosteson, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Anna N. A. Tosteson, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Jeffrey C. Munson, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Zhigang Li, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire
11:30 AM

Testing the Adequacy of Linear Mixed Effects Models
Stephanie Chen, North Carolina State University; Luo Xiao, North Carolina State University; Ana-Maria Staicu, North Carolina State University, Department of Statistics
11:45 AM

The Role of Intermediate Observations When Outcome Data Are Missing in Longitudinal Randomized Clinical Trials
Joseph Rausch, Nationwide Children's Hospital
2:05 PM

METHODOLOGICAL CHALLENGES in the ANALYSIS of LONGITUDINAL RNASEQ DATA
Roula Tsonaka, Leiden University MC
2:20 PM

Personalizing Early Detection for Ovarian Cancer with Hierarchical Longitudinal Models of a Blood Biomarker: Experience in Multiple Prospective Screening Trials
Steven Skates, MGH/Biostatistics Center
2:25 PM

Dynamic Prediction of End-Stage Renal Disease Using Longitudinal Biomarkers in a Cohort Study of Chronic Kidney Disease
Liang Li, University of Texas MD Anderson Cancer Center
2:25 PM

Interactive Graphics for Functional Data Analyzes
Julia Wrobel, Columbia University, Department of Biostatistics; So-Young Park, North Carolina State University, Department of Statistics; Ana-Maria Staicu, North Carolina State University, Department of Statistics; Jeff Goldsmith, Columbia University
2:35 PM

Joint Analysis of Left-Censored Longitudinal Biomarker and Binary Outcome via Latent Class Modeling
Menghan Li, Pennsylvania State University ; Lan Kong, Pennsylvania State University
2:35 PM

Flexible Models for Multivariate Longitudinal Data Using Copula
Zhentao Tong, North Carolina State University; Sujit K Ghosh, North Carolina State University
2:50 PM

An Assessment of Bias in Longitudinal Studies with Outcome-Dependent Visits
John Neuhaus, University of California, San Francisco; Charles McCulloch, University of California, San Francisco
2:55 PM

Initial Severity-Dependent Longitudinal Model in Application for Depression Studies
Seonjin Kim, Miami University; Hyunkeun Cho; Xianyang Zhang, Texas A&M University
3:05 PM

A Semiparametric Two-Part Model for Longitudinal Semi-Continuous Data
Lixuan Yin; Guoqing Diao, George Mason University; Aiyi Liu, National Institutes of Health/NICHD
3:20 PM

A Flexible Joint Longitudinal-Survival Model for a Simultaneous Modeling of Multiple Longitudinal Biomarkers
Sepehr Akhavan Masouleh, UC Irvine; Babak Shahbaba, University of California, Irvine; Alexander Vandenberg-Rodes, UC Irvine; Daniel L. Gillen, University of California, Irvine
3:25 PM

Tuesday, 08/01/2017
Estimating the Protective Effect of Longitudinal DrugConcentration in Pre-Exposure Prophylaxis for HIV Prevention
Claire Ruberman, Johns Hopkins University; Jon Steingrimsson, Johns Hopkins University; Michael Rosenblum, Johns Hopkins University; Craig Hendrix, Johns Hopkins School of Medicine


Dynamic Prediction Using Joint Models of Longitudinal and Recurrent Events Data: a Bayesian Perspective
Xuehan Ren


A Mixed-Effects Modeling Approach to Studying the Impact of Mind Wandering on Selective Attention
Michael Geden, North Carolina State Univ; Jing Feng, North Carolina State Univ; Ana-Maria Staicu, North Carolina State University, Department of Statistics


Joint Modeling of Multiple Longitudinal Ordinal Outcomes and Competing Risks: An Application to Parkinson's Disease Study
Jun Zhang, UT Health Science Cener; Shen Luo, UT School of Public Health


Modeling Youth Tobacco and E-Cigarette Transitions
Ilan Rich, Johns Hopkins University ; Raymond Niaura, Schroeder Institute, Truth Initiative ; Amanda Johnson, Schroeder Institute, Truth Initiative ; Andrea Villanti, Schroeder Institute, Truth Initiative ; David Abrams, Schroeder Institute, Truth Initiative


An Examination of the Association Between Alcohol and Dementia in a Longitudinal Study
Tingting Hu, Florida State University; Dan McGee, Florida State University; Elizabeth Slate, Florida State University


Nonlinear Mixed-Effects Mixture Models for Clustering Longitudinal Data with an Application
Chongshu Chen, University of Rochester


Longitudinal regression model for a continuous skewed outcome with zero inflated observations with application to oropharyngeal cancer cost
Ho-Lan Peng; Wenyaw Chan, University of Texas Health Science Center at Houston School of Public Health; Chi-Fang Wu, University of Texas Health Science Center at Houston School of Public Health; Hongyu Miao, University of Texas Health Science Center at Houston School of Public Health; David R Lairson, University of Texas Health Science Center at Houston School of Public Health


A Network-based Algorithm for Clustering Multivariate Longitudinal Data
Matthew Koslovsky, KBRwyle; Millennia Young, National Aeronautics and Space Administration; Caroline Schaefer, MEI Technologies; John Arellano, MEI Technologies; Al Feiveson, National Aeronautics and Space Administration


Longitudinal Modeling in Applied Research: Implications for Improving Practice
Niloofar Ramezani, University of Northern Colorado; Kerry Duck, University of Northern Colorado; Austin Brown, University of Northern Colorado; Michael Floren, University of Northern Colorado ; Krystal Hinerman, Lamar University; Trent Lalonde, University of Northern Colorado


Accounting for Baseline Covariates and Missing Data in Regulatory Trials with Longitudinal Designs
Elizabeth Colantuoni, Johns Hopkins University; Jon Steingrimsson, Johns Hopkins University; Aidan McDermott, Johns Hopkins University; Michael Rosenblum, Johns Hopkins University


Accounting for Baseline Covariates and Missing Data in Regulatory Trials with Longitudinal Designs
Elizabeth Colantuoni, Johns Hopkins University; Jon Steingrimsson, Johns Hopkins University; Aidan McDermott, Johns Hopkins University; Michael Rosenblum, Johns Hopkins University
8:45 AM

GMM Logistic Regression with Time-Dependent Covariates and Feedback Processes
Kyle M Irimata, Arizona State University
8:55 AM

Bayesian Clinical Trial Design for Joint Models of Longitudinal and Survival Data
Joseph G Ibrahim, UNC; Matthew Psioda, UNC Chapel Hill
9:00 AM

When Should We Use Linear Fixed Effects Regression Models for Causal Inference with Longitudinal Data?
Kosuke Imai, Princeton University; In Song Kim, MIT
9:00 AM

Stable Balancing Weights for Marginal Structural Models
María de los Angeles Resa Juárez, Columbia University; José R. Zubizarreta, Columbia University
9:15 AM

Joint Modeling of Longitudinal and Survival Data with a Covariate Subject to a Limit of Detection
Abdus Sattar, Case Western Reserve University; Sanjoy K Sinha, Carleton University
9:25 AM

A Network-based Algorithm for Clustering Multivariate Longitudinal Data
Matthew Koslovsky, KBRwyle; Millennia Young, National Aeronautics and Space Administration; Caroline Schaefer, MEI Technologies; John Arellano, MEI Technologies; Al Feiveson, National Aeronautics and Space Administration
9:30 AM

Quantile Residual Life Regression with Longitudinal Biomarker Measurements for Dynamic Prediction
Ruosha Li, University of Texas Health Science Center at Houston; Xuelin Huang, M D Anderson Cancer Center
9:35 AM

Longitudinal regression model for a continuous skewed outcome with zero inflated observations with application to oropharyngeal cancer cost
Ho-Lan Peng; Wenyaw Chan, University of Texas Health Science Center at Houston School of Public Health; Chi-Fang Wu, University of Texas Health Science Center at Houston School of Public Health; Hongyu Miao, University of Texas Health Science Center at Houston School of Public Health; David R Lairson, University of Texas Health Science Center at Houston School of Public Health
9:35 AM

Dynamic Predictions in Bayesian Functional Joint Models for Longitudinal and Time-To-Event Data: An Application to Alzheimer's Disease
Kan Li, The University of Texas Health Science Center at Houston ; Sheng Luo, The University of Texas Health Science Center at Houston
9:50 AM

A Joint Model Approach for Longitudinal Data with No Time Zero and Time-To-Event with a Competing Risk
Sung Duk Kim, National Cancer Institute/NIH; Olive Buhule, NICHD/NIH; Paul S. Albert, National Cancer Institute/NIH
9:50 AM

An Examination of the Association Between Alcohol and Dementia in a Longitudinal Study
Tingting Hu, Florida State University; Dan McGee, Florida State University; Elizabeth Slate, Florida State University
10:00 AM

Optimal Individualized Early Warning for Inpatient Adverse Events
Hossein Soleimani, Johns Hopkins University; Suchi Saria, Johns Hopkins University
10:35 AM

Nonlinear Mixed-Effects Mixture Models for Clustering Longitudinal Data with an Application
Chongshu Chen, University of Rochester
10:50 AM

Flexible Bayesian Additive Joint Models
Meike Köhler, Helmholtz Zentrum München; Nikolaus Umlauf, Universität Innsbruck; Sonja Greven, Ludwig-Maximilians-Universität München
11:00 AM

Determination of Interim Go/No-Go Criteria with Simulations of Longitudinal Continuous Data in a Phase 2 Clinical Trial of a Neurodegenerative Disorder
Weining Z Robieson, AbbVie Inc.; Greg Cicconetti, Abbvie; Deli Wang, AbbVie, Inc.
11:05 AM

Using Historical, Electronic Health Record Data to Bolster a Cluster Randomized Trial of Early Childhood Obesity
Jonathan Schildcrout, Vanderbilt University Medical Center; Aihua Bian, Vanderbilt University Medical Center
11:35 AM

Differential Abundance Analysis on Longitudinal Metagenomic Sequencing Data
Lingling An, University of Arizona; Dan Luo, University of Arizona
11:35 AM

Longitudinal Modeling in Applied Research: Implications for Improving Practice
Niloofar Ramezani, University of Northern Colorado; Kerry Duck, University of Northern Colorado; Austin Brown, University of Northern Colorado; Michael Floren, University of Northern Colorado ; Krystal Hinerman, Lamar University; Trent Lalonde, University of Northern Colorado
11:40 AM

Conditional Models for Longitudinal Data with a Temrinal Event
Bin Nan, University of Michigan; Shengchun Kong, Gilead Sciences, Inc; John Kalbfleisch, University of Michigan
2:05 PM

Longitudinal Joint Clustering via Dirichlet Process Mixture Model
Hongmei Zhang, University of Memphis; Shengtong Han, University of Chicago; Hasan Arshad, University of Southampton
2:20 PM

Joint Models of Longitudinal Ordinal Outcomes with Competing Risks Survival Analysis
Xiao Fang, University of Texas Medical Branch; Kristofer Jennings, University of Texas Medical Branch
2:35 PM

Sensitivity Analysis for Longitudinal Clinical Trials with Nonmonotone Missingness
Antonio R Linero, Florida State University
2:45 PM

Minimax Estimation for Varying Coefficient Model with Longitudinal Data
Xiaowu Dai, University of Wisconsin Madison
3:05 PM

Generalized Mixed Effects Regression Tree for Longitudinal Count Data
Xiaoqin Xiong, Food and Drug Administration; Joel A Dubin, University of Waterloo
3:20 PM

Wednesday, 08/02/2017
Statistical Challenges and Possible Career Path in Aging and Dementia Research
Chengjie Xiong, Washington University School of Medicine


Multiple Imputation in Longitudinal Studies with Circularity
Elizabeth Petraglia, Westat


Imputation for Longitudinal Study of Effectiveness of an Anti-Smoking Campaign
Qiao Ma, NORC at the University of Chicago; Josiane Bechara, NORC at the University of Chicago; Edward Mulrow, NORC; Zachary Haskell Seeskin, NORC at the University of Chicago; Morgane Bennett, Truth Initiative; Jennifer Cantrell, Truth Initiative; Elizabeth Hair, Truth Initiative; Donna Vallone, Truth Initiative


Tree-Based Models for Longitudinal Data
Brittany Green, University of Cincinnati; Peng Wang, University of Cincinnati


Functional Cox Model for Longitudinal Biomarkers
Jiehuan Sun, Department of Biostatistics, Yale Univeristy; Jose D. Herazo-Maya, Yale School of Medicine; Naftali Kaminski, Yale School of Medicine; Hongyu Zhao, Yale University


Biodemographic Approaches to Genetic Analyzes of Longevity in Longitudinal Data on Aging
Konstantin Arbeev, Duke University; Ilya Y. Zhbannikov, Duke University; Olivia Bagley, Duke University; Anatoliy I. Yashin, Duke University


STATISTICAL METHODS for DEVELOPING IMPROVED ESTIMATES of HIV PREVENTION MEASURES USING SURVEILLANCE DATA
Sahar Zangeneh, Fred Hutchinson Cancer Research Center; Deborah Donnell, Fred Hutchinson Cancer Research Center; Ying Chen, Fred Hutchinson Cancer Research Center


STATISTICAL METHODS for DEVELOPING IMPROVED ESTIMATES of HIV PREVENTION MEASURES USING SURVEILLANCE DATA
Sahar Zangeneh, Fred Hutchinson Cancer Research Center; Deborah Donnell, Fred Hutchinson Cancer Research Center; Ying Chen, Fred Hutchinson Cancer Research Center
8:45 AM

Multiple Imputation in Longitudinal Studies with Circularity
Elizabeth Petraglia, Westat
9:05 AM

Methods for Handling Missing Data Due to Death and Dropout in Mortal Cohorts
Lan Wen, University of Cambridge; Shaun Seaman, MRC Biostatistics Unit, University of Cambridge
9:20 AM

Evaluating Imputation Techniques for Longitudinal Study of Effectiveness of an Anti-Smoking Campaign
Qiao Ma, NORC at the University of Chicago; Josiane Bechara, NORC at the University of Chicago; Edward Mulrow, NORC; Zachary Haskell Seeskin, NORC at the University of Chicago; Morgane Bennett, Truth Initiative; Jennifer Cantrell, Truth Initiative; Elizabeth Hair, Truth Initiative; Donna Vallone, Truth Initiative
9:35 AM

Tree-Based Models for Longitudinal Data
Brittany Green, University of Cincinnati; Peng Wang, University of Cincinnati
9:40 AM

Functional Cox Model for Longitudinal Biomarkers
Jiehuan Sun, Department of Biostatistics, Yale Univeristy; Jose D. Herazo-Maya, Yale School of Medicine; Naftali Kaminski, Yale School of Medicine; Hongyu Zhao, Yale University
9:40 AM

Biodemographic Approaches to Genetic Analyzes of Longevity in Longitudinal Data on Aging
Konstantin Arbeev, Duke University; Ilya Y. Zhbannikov, Duke University; Olivia Bagley, Duke University; Anatoliy I. Yashin, Duke University
9:50 AM

Time Trend Analysis with Complex Survey Data
Morgan Earp, U.S. Bureau of Labor Statistics; Daniell Toth, US Bureau of Labor Statistics; Polly Phipps, Bureau of Labor Statistics; Charlotte Oslund, Bureau of Labor Statistics
9:55 AM

Attrition and Its Implications in the National Longitudinal Survey of Youth 1979
Alison Aughinbaugh, U.S. Bureau of Labor Statistics; Charles R. Pierret, U.S. Bureau of Labor Statistics; Donna S. Rothstein, U.S. Bureau of Labor Statistics
10:05 AM

Bayesian Longitudinal Low-Rank Regression Models for Imaging Genetic Data from Longitudinal Studies
Zhaohua Lu, St Jude Children's Research Hospital; Zakaria Khondke, University of North Carolina at Chapel Hill; Joseph G Ibrahim, UNC; Hongtu Zhu, The University of Texas MD Anderson Cancer Center
11:35 AM

Using Administrative Data Proactively to Aid in Data Collection for New Respondent Panels for the Medicare Current Beneficiary Survey
Bradley Parsell, NORC; Andrea Mayfield, NORC; Christopher Ward, NORC; Rebecca Reimer, NORC; Tricia McCarthy, NORC; Sai Loganathan, NORC; Rachel Carnahan, NORC; Kari Carris, NORC; Felicia LeClere, NORC; Cheryl L. Sharpless, CMS
11:50 AM

Experimental Design in Longitudinal MRI for Multiple Sclerosis
Menghan Hu, Brown University; Ani Eloyan, Brown University; Matthew Schindler, NIH, NINDS; Daniel Reich, NINDS; Russell Taki Shionhara, UPenn; Blake Dewey, Johns Hopkins Whiting School of Engineering
11:50 AM

Derivative Principal Component Analysis for Representing the Time Dynamics of Longitudinal and Functional Data
Xiongtao Dai, University of California, Davis; Hans-Georg G Müller, University of California, Davis ; Wenwen Tao, Quora
2:05 PM

Spatial Temporal Exponential-Family Point Process Models for the Evolution of Social Systems
Mark Stephen Handcock, University of California - Los Angeles; Joshua D. Embree, RAND Corporation
2:30 PM

Optimal Design for Classification of Functional Data
Cai Li, North Carolina State University; Luo Xiao, North Carolina State University
2:35 PM

Bayesian Methods for Non-Ignorable Dropout in Joint Models in Smoking Cessation Studies
Jeremy Gaskins, University of Louisville; Michael J Daniels, University of Texas at Austin
3:05 PM

Addressing Differential Measurement Error in Self-Reported Dietary Data Using an External Validation Study: Application to a Longitudinal Lifestyle Intervention Trial
Juned Siddique, Northwestern University; Raymond Carroll, Texas A&M University; Michael J Daniels, University of Texas at Austin; Trivellore Raghunathan, University of Michigan School of Public Health; Elizabeth Stuart, Johns Hopkins University; Laurence Freedman, Gertner Institute for Epidemiology and Health Policy Research
3:05 PM

Longitudinal Independent Component Analysis with Application to fMRI Data
Yikai Wang, Emory University; Ying Guo, Emory University
3:05 PM

Thursday, 08/03/2017
Overview of Estimands, Estimators, and Sensitivity for Longitudinal Clinical Trials
Craig Mallinckrodt, Eli Lilly & Co.
8:35 AM

Statistical Indices for Risk Tracking in Longitudinal Studies
Xin Tian, National Heart, Lung and Blood Institute
8:35 AM

Dynamic Prediction of Alzheimer's Disease Progression with Longitudinal Functional Joint Model
Sheng Luo, The University of Texas Health Science Center at Houston; Kan Li, The University of Texas Health Science Center at Houston
8:55 AM

Dynamic Association Based on Time-Dependent Risk Factors in Longitudinal Studies
Lihui Zhao, Northwestern University; Kiang Liu, Northwestern University; Colin O. Wu, Office of Biostatistics Research, National Heart, Lung and Blood Institute, NIH; Donald Lloyd-Jones, Northwestern University; Norrina Allen, Northwestern University; Sejong Bae, University of Alabama, Birmingham; Lu Tian, Stanford University
9:15 AM

Homogeneity Test of Covariance Matrices with High-Dimensional Longitudinal Data
Pingshou Zhong, Michigan State University; Runze Li, The Pennsylvania State University
9:35 AM

Where and Who: Complex and Varying Definitions of Eligibility in a Longitudinal Study
Megan Stead, NORC; Nicholas Davis, NORC; Christopher Ward, NORC; Cheryl L. Sharpless, CMS
10:35 AM

Early-Life Exposures and Longitudinal Growth Patterns: A Comparison of Statistical Methods
Brianna Heggeseth, Williams College
10:50 AM

Model Assessment on Longitudinal Binary Data with Time-Dependent Covariates
Tan Li, Florida International University; Katrina INTERNATIONAL Epnere, Florida International University
11:05 AM

Continuous Time Causal Mediation Analysis for Longitudinal Data
Jeffrey Albert, Case Western Reserve University
11:15 AM

Sparse Pairwise Likelihood Estimation for Multivariate Longitudinal Mixed Models
Samuel Mueller, University of Sydney; Alan H Welsh, The Australian National University; Francis KC Hui, The Australian National University
11:50 AM

Two Overlooked Statistical Issues in the Study of Neurodevelopmental Trajectories
Philip Reiss, University of Haifa
11:55 AM

 
 
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