Biostatistics Seminar: Reframing Proportional-Hazards Modeling for Large Time-to-Event Datasets with Applications to Deep Learning

We are welcoming Dr. Simon, who will talk about "Reframing proportional-hazards modeling for large time-to-event datasets with applications to deep learning." Dr. Simon works on machine learning (including penalized regression and classification), efficient algorithms in high dimensional spaces, shrinkage estimation and clinical trial design. The techniques he develops are directed at problems in biology 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 »