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Activity Details

584 Wed, 8/2/2017, 2:00 PM - 3:50 PM CC-312
Statistical Methods for Genetic Association Analysis — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Hung-Chih Ku, DePaul University
2:05 PM Set-Based Tests Using the Generalized Berk-Jones Statistic in Genetic Association Studies Ryan Sun, Harvard University ; Peter Kraft, Harvard University ; Xihong Lin, Harvard TH Chan School of Public Health
2:20 PM An Adaptive Test on High-Dimensional Parameters in Generalized Linear Models Chong Wu, University of Minnesota ; Wei Pan, University of Minnesota ; Gongjun Xu, University of Michigan
2:35 PM Detection of Signal Regions in Whole Genome Association Studies Zilin Li ; Xihong Lin, Harvard TH Chan School of Public Health
2:50 PM Improved Rank Truncated Product Method for Combining P-Values Dmitri Zaykin, NIH/NIEHS ; Olga Vsevolozhskaya
3:05 PM Detecting Marginal Weak but Jointly Informative Markers in Genome-Wide Association Studies Yanming Li ; Hyokyoung (Grace) Hong, Michigan State University ; Kevin He, University of Michiga ; Jian Kang, University of Michigan ; Qingyi Wei, Duke University ; Yi Li, University of Michigan
3:20 PM Inverse Normal Transformation for Genome Wide Association Testing of Quantitative Traits Zachary McCaw, Harvard School of Public Health ; Xihong Lin, Harvard TH Chan School of Public Health
3:35 PM Population Based Genetic Association Study for Two Correlated Complex Diseases with Binary Disease Status and an Underlying Pleiotropic Gene Vishal Midya, Penn State College of Medicine
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