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169 Mon, 8/4/2014, 10:30 AM - 12:20 PM CC-254B
Hierarchical and Multilevel Models — Contributed Papers
Biometrics Section
Chair(s): Kevin Lawson, PPD   
10:35 AM Cormotif: a Hierarchical Mixture Model Framework for Integrating Heterogeneous Genomic Data Hongkai Ji, Johns Hopkins Bloomberg School of Public Health ; Yingying Wei, Johns Hopkins Bloomberg School of Public Health
10:50 AM A Bayesian Feature Allocation Model for Tumor Heterogeneity Juhee Lee, University of California, Santa Cruz ; Peter Mueller, University of Texas at Austin ; Yuan Ji, NorthShore University HealthSystem ; Kamalakar Gulukota, NorthShore University HealthSystem
11:05 AM Hierarchical Group Testing for Multiple Infections Peijie Hou, University of South Carolina ; Joshua Tebbs, University of South Carolina
11:20 AM Sources of Correlation on a Hierarchical Logistic Regression Model Kyle Irimata, Arizona State University ; Katherine Cai, Arizona State University ; Jeffrey Wilson, Arizona State University
11:35 AM Impact of Multiple Sources of Correlation on Hierarchical Logistic Regression Models Katherine Cai, Arizona State University ; Kyle Irimata, Arizona State University ; Jeffrey Wilson, Arizona State University
11:50 AM Approximating Power for Multilevel and Longitudinal Studies with Missing Data Brandy Ringham, University of California, Los Angeles ; Sarah Kreidler, University of Colorado Denver ; Keith Muller, University of Florida ; Deborah Glueck, University of Colorado Denver
12:05 PM Combinatorial Polyfunctionality Analysis of Single-Cell Genomic Data Lynn Lin, Fred Hutchinson Cancer Research Center



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