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188 * ! Tue, 8/4/2020, 10:00 AM - 2:00 PM Virtual
Bayesian Application to Biological and Health Sciences — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Federico Ferrari, Duke University
Identification of Gene-Environment Interactions Using a Marginal Robust Bayesian Method
Xi Lu, Kansas State University; Kun Fan; Cen Wu, Kansas State University
Identifying Individual Rare Variants with a Fast Bayesian Variable Selection Method for Trios: Using TRIO_RVEMVS
Duo Yu, University of Texas Health Science Center at Houston; Kusha Mohammadi, Univeristy of Texas- Health Science Center at Houston; Margaret Steiner, The George Washington University; Abigail C Sedory, University of Texas Health Science Center at Houston; Michael Swartz, University of Texas Health Science Center At Houston, School of Public Health; Matthew D. Koslovsky, The Rice University
Bayesian Modeling of Longitudinal Count Data Using Conway-Maxwell Poisson Distribution
MORSHED ALAM, University Of Nebraska Medical Center; Jane Meza, University of Nebraska Medical Center; Yeongjin Gwon, University of Nebraska Medical Center
A Latent Function Approach for Chemical Mixture Interactions in Risk Assessment
Debamita Kundu, National Cancer Institute; Sung Duk Kim, National Cancer Institute; Paul S. Albert, National Cancer Institute
A Bayesian Latent Feature Model for Phenotypic Heterogeneity in Single-Cell Mass Cytometry Data
Thomas Madsen, Carleton College; Franziska Michor, Dana-Farber Cancer Institute