Biostatistics Seminar – Online Multiple Hypothesis Testing

Dr. Ramdas' main theoretical and methodological research interests include selective and simultaneous inference, sequential uncertainty quantification, and distribution-free black-box predictive inference. His areas of applied interest include neuroscience, genetics and... Read more »

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... Read more »