Presented by , Associate Professor, Department of Population Health Sciences, Geisinger The majority of genetic studies take a phenotype-first approach to identifying disease risk genes. This phenotype-first approach may be subject to ascertainment bias towards high penetrance alleles, miss unexpected features or symptoms of the disease, miss diseases of variable expressivity, or may overestimate disease […]

Presented by Lu Tang, PhD, Assistant Professor and Vice Chair for Education, Department of Biostatistics, University of Pittsburgh This paper introduces a new objective function and federated learning (FL) algorithm for deriving individualized decision rules (IDRs) that are robust to distributional uncertainty in heterogeneous data sources. It is motivated by the need to uniformly improve […]

Presented by Betsy Q. Cliff, PhD, Assistant Professor, Department of Public Health Sciences, University of Chicago Lost in Transition: Disenrollment from Medicaid Among Young Adults with Complex Medical Conditions

Presented by by Dr. Wei-Wen Hsu, PhD, Associate Professor, Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine The cure rate models, also known as two-component mixture models, are widely utilized in survival data analysis, particularly in scenarios involving long-term survivors. Significant attention in the literature has been dedicated to assessing […]