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61 Mon, 8/3/2020, 10:00 AM - 2:00 PM Virtual
Approaches for Modeling Clustered and Longitudinal Data — Contributed Papers
Biometrics Section
Chair(s): Hayley Belli, New York University School of Medicine
Semiparametric Quasi-Bayesian Bootstrap Procedure for Dichotomous Outcome
Yiying Liu, Case Western Reserve University; Jeffery M Albert, Case Western Reserve University
Association of Mitochondrial Haplogroups with the Risk of Alzheimer Disease
Palash Sharma, University of Kansas Medical Center; Dongwei Hui, Higuchi Biosciences Center, University of Kansas; Jonathan Mahnken, Department of Biostatistics and Data Science, The University of Kansas Medical Center; Mary Michaelis, Higuchi Biosciences Center, University of Kansas; Elias Michaelis, Higuchi Biosciences Center, University of Kansas; Russell Swerdlow, Department of Neurology, University of Kansas-Medical Center; Prabhakar Chalise, Department of Biostatistics and Data Science, University of Kansas Medical Center
Conway-Maxwell-Multinomial Regression for Categorical Data with Associated Trials
Darcy Morris; Andrew M. Raim, U.S. Census Bureau; Kimberly Sellers, Georgetown University
Ordinal Outcomes: Considerations for a Log Cumulative Probability Model Without a Proportionality Assumption
Gurbakhshash Singh, Central Connecticut State University; Gordon Hilton Fick, University of Calgary
Comparison of Tests for Association of 2 by 2 Tables Under the Multiple Testing Setting
Huan Cheng, University of Kansas Medical Center; Jianghua He, University of Kansas Medical Center
Robust and Scalable Modeling of Intra-Individual Variability in Longitudinal Big Data
Christopher German; Janet Sinsheimer, UCLA; Hua Zhou, University of California, Los Angeles; Jin Zhou, University of Arizona