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517 Thu, 8/11/2022, 8:30 AM - 10:20 AM CC-156
New Approaches for Correlated and Clustered Data — Contributed Papers
Biometrics Section
Chair(s): Xi Jiang, Southern Methodist University
8:35 AM Geographical Data Science (GIS) Applications for Critical Record Identification
Turkan Kumbaraci Gardenier, Teka Trends, Inc.
8:50 AM Maximin Optimal Cluster Randomized Designs for Assessing Treatment Effect Heterogeneity
Mary Ryan, Yale Center for Analytical Sciences; Denise Esserman, Yale University; Fan Li, Yale School of Public Health
9:05 AM Addressing the Challenges of Assessing Forecasting and Time Series Methods Using COVID-19 Pandemic-Era Data
Niloofar Ramezani, George Mason University; Karen Traxler, U.S. Department of Justice
9:20 AM Mixture Models for Repeatedly Measured Survey Data with “Don’t Know” Category and/or Floor Effects
Ralitza Gueorguieva, Yale University; Eugenia Buta, Yale University; Meghan Morean, Yale University; Patricia Simon, Yale University; Suchitra Krishnan-Sarin, Yale University
9:35 AM Adapting GEE Methods for Correlated Binary Data with Rare Events
Craig B. Borkowf, Centers for Disease Control and Prevention (CDC)
9:50 AM Evaluation of Latent-Class Mixed-Effect Models for Trajectory Clustering in Complex Data Sets Through Simulation Studies
Yuan Fang, Boston University; Jiachen Chen, Boston University; Joanne Murabito, Boston University; Kathryn Lunetta, Boston University
10:05 AM Floor Discussion