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Biostatistics Webinar: Handling Sampling and Selection Bias in Association Studies Embedded in Electronic Health Records
In this talk we will discuss statistical challenges and opportunities with joint analysis of electronic health records and genomic data through ” Genome and Phenome-Wide Association Studies (GWAS and PheWAS)”.
Presenter: Bhramar Mukherjee, PhD, John D. Kalbfleisch Collegiate Professor and Chair, Dept. of Biostatistics; Professor, Dept. of Epidemiology; Professor, Global Public Health, University of Michigan (UM) School of Public Health; Research Professor and Core Faculty Member, Michigan Institute of Data Science (MIDAS), University of Michigan (UM) School of Public Health
Dr. Mukherjee’s also serves as the Associate Director for Quantitative Data Sciences, University of Michigan Rogel Cancer Center and is the cohort development core co-director in the University of Michigan’s institution-wide Precision Health Initiative. Her research interests include statistical methods for analysis of electronic health records, studies of gene-environment interaction, Bayesian methods, shrinkage estimation, analysis of multiple pollutants.
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