Keyword Search
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CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
Keyword Search Criteria: Longitudinal returned 133 record(s)
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Sunday, 07/30/2017
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A Longitudinal Analysis of PPI Response and Nonresponse Patterns
Joseph Valentine, U.S. Bureau of Labor Statistics
2:20 PM
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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
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Spatio-Temporal Balanced Sampling Design for Longitudinal Natural Resources Survey
Zhengyuan Zhu, Iowa State University
2:30 PM
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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
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Re-Envisioning and Re-Building the Survey of Income and Program Participation
Jason Fields, U.S. Census Bureau
2:45 PM
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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
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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
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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
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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
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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
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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
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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
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Trajectory Models Revisited
Elena Erosheva, University of Washington ; Bryan D. Martin, University of Washington; Ross L. Matsueda, University of Washington
4:50 PM
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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
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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
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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
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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
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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
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Nonparametric estimation of time-variant quantiles and statistical models
Jessica Rudd, Kennesaw State University; Mohammed Chowdhury, Kennesaw State University
5:35 PM
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Monday, 07/31/2017
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An Evaluation of Multiple Imputation Methods for Hierarchical Data
Takayuki Abe, Keio University School of Medicine; Manabu Iwasaki, Seikei University
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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
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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
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Monte Carlo Simulation for Longitudinal Studies with Co-Primary Endpoints
Simcha Pollack
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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
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Using an Onset-Anchored Bayesian Hierarchical Model to Improve Predictions for Amyotrophic Lateral Sclerosis Disease Progression
Alex Karanevich
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Dynamic Prediction of Acute Graft-Versus-Host Disease (AGVHD) Using Longitudinal Biomarkers
Yumeng Li
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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.
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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
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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
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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
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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
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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
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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
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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
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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
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Estimating Vaccine Effects in Longitudinal Studies of Interconnected Populations
Forrest W Crawford, Yale School of Public Health
8:55 AM
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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
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Semiparametric Estimation of Longitudinal Data with Nonignorable Attrition Using Refreshment Samples
Lan Xue, Oregon State University; Jianfei Zheng, Oregon State University
9:15 AM
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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
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Improving Dynamic Predictions from Joint Models of Longitudinal and Survival Data Using Time-Varying Effects
Dimitris Rizopoulos, Erasmus University Medical Center
10:35 AM
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A Comparison of Some Bootstrap Methods for Mixed Model Analysis of Non-Normal Longitudinal Data
Mark Reiser, Arizona State University
10:35 AM
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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
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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
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Nonparametric Covariance Estimation for Longitudinal Data via Tensor Product Smoothing
Tayler Blake, Information Control Company; Yoonkyung Lee, The Ohio State University
10:50 AM
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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
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Risk Prediction from the Combination of Longitudinal Biomarkers Subject to Informative Missingness
Jiwei Zhao, State University of New York at Buffalo
10:55 AM
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Segmentation of Longitudinal Images Using Total Variation Regulation
Yuan Wang, Washington State University
11:15 AM
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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
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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
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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
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The Role of Intermediate Observations When Outcome Data Are Missing in Longitudinal Randomized Clinical Trials
Joseph Rausch, Nationwide Children's Hospital
2:05 PM
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METHODOLOGICAL CHALLENGES in the ANALYSIS of LONGITUDINAL RNASEQ DATA
Roula Tsonaka, Leiden University MC
2:20 PM
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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
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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
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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
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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
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Flexible Models for Multivariate Longitudinal Data Using Copula
Zhentao Tong, North Carolina State University; Sujit K Ghosh, North Carolina State University
2:50 PM
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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
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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
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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
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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
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Tuesday, 08/01/2017
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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
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Dynamic Prediction Using Joint Models of Longitudinal and Recurrent Events Data: a Bayesian Perspective
Xuehan Ren
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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
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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
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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
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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
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Nonlinear Mixed-Effects Mixture Models for Clustering Longitudinal Data with an Application
Chongshu Chen, University of Rochester
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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
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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
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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
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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
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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
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GMM Logistic Regression with Time-Dependent Covariates and Feedback Processes
Kyle M Irimata, Arizona State University
8:55 AM
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Bayesian Clinical Trial Design for Joint Models of Longitudinal and Survival Data
Joseph G Ibrahim, UNC; Matthew Psioda, UNC Chapel Hill
9:00 AM
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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
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Stable Balancing Weights for Marginal Structural Models
María de los Angeles Resa Juárez, Columbia University; José R. Zubizarreta, Columbia University
9:15 AM
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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
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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
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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
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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
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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
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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
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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
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Optimal Individualized Early Warning for Inpatient Adverse Events
Hossein Soleimani, Johns Hopkins University; Suchi Saria, Johns Hopkins University
10:35 AM
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Nonlinear Mixed-Effects Mixture Models for Clustering Longitudinal Data with an Application
Chongshu Chen, University of Rochester
10:50 AM
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Flexible Bayesian Additive Joint Models
Meike Köhler, Helmholtz Zentrum München; Nikolaus Umlauf, Universität Innsbruck; Sonja Greven, Ludwig-Maximilians-Universität München
11:00 AM
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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
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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
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Differential Abundance Analysis on Longitudinal Metagenomic Sequencing Data
Lingling An, University of Arizona; Dan Luo, University of Arizona
11:35 AM
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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
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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
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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
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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
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Sensitivity Analysis for Longitudinal Clinical Trials with Nonmonotone Missingness
Antonio R Linero, Florida State University
2:45 PM
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Minimax Estimation for Varying Coefficient Model with Longitudinal Data
Xiaowu Dai, University of Wisconsin Madison
3:05 PM
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Generalized Mixed Effects Regression Tree for Longitudinal Count Data
Xiaoqin Xiong, Food and Drug Administration; Joel A Dubin, University of Waterloo
3:20 PM
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Wednesday, 08/02/2017
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Statistical Challenges and Possible Career Path in Aging and Dementia Research
Chengjie Xiong, Washington University School of Medicine
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Multiple Imputation in Longitudinal Studies with Circularity
Elizabeth Petraglia, Westat
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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
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Tree-Based Models for Longitudinal Data
Brittany Green, University of Cincinnati; Peng Wang, University of Cincinnati
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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
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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
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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
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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
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Multiple Imputation in Longitudinal Studies with Circularity
Elizabeth Petraglia, Westat
9:05 AM
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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
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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
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Tree-Based Models for Longitudinal Data
Brittany Green, University of Cincinnati; Peng Wang, University of Cincinnati
9:40 AM
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Optimal Design for Classification of Functional Data
Cai Li, North Carolina State University; Luo Xiao, North Carolina State University
2:35 PM
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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
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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
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Longitudinal Independent Component Analysis with Application to fMRI Data
Yikai Wang, Emory University; Ying Guo, Emory University
3:05 PM
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Thursday, 08/03/2017
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Overview of Estimands, Estimators, and Sensitivity for Longitudinal Clinical Trials
Craig Mallinckrodt, Eli Lilly & Co.
8:35 AM
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Statistical Indices for Risk Tracking in Longitudinal Studies
Xin Tian, National Heart, Lung and Blood Institute
8:35 AM
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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
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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
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Homogeneity Test of Covariance Matrices with High-Dimensional Longitudinal Data
Pingshou Zhong, Michigan State University; Runze Li, The Pennsylvania State University
9:35 AM
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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
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Early-Life Exposures and Longitudinal Growth Patterns: A Comparison of Statistical Methods
Brianna Heggeseth, Williams College
10:50 AM
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Model Assessment on Longitudinal Binary Data with Time-Dependent Covariates
Tan Li, Florida International University; Katrina INTERNATIONAL Epnere, Florida International University
11:05 AM
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Continuous Time Causal Mediation Analysis for Longitudinal Data
Jeffrey Albert, Case Western Reserve University
11:15 AM
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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
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Two Overlooked Statistical Issues in the Study of Neurodevelopmental Trajectories
Philip Reiss, University of Haifa
11:55 AM
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