Sensitivity Analysis in Observational Research: Introducing the E-Value

Dr. Tyler VanderWeele holds degrees from the University of Oxford, University of Pennsylvania, and Harvard University in mathematics, philosophy, theology, finance, and biostatistics. His research is focused on distinguishing between association and causation in the biomedical and social sciences, and, more recently, on measurement theory and synthesizing ideas from causal inference and analytic philosophy into... Read more »

Spring PHield Trip to RTI

Explore public health in action! Join the virtual PHield trip with RTI International on Feb. 18 from 1-3:00 p.m. The event will feature a keynote on mobilizing global public health... Read more »

It is Never too Early to Think About Statistical Leadership

Dr. Richard Zink spent 17 years in and around medical product development at a real-world data company (Target RWE) where he led data management and statistics in the analysis and reporting of data derived from electronic medical records; a software company (SAS Institute) where he developed and supported platforms to analyze and visualize safety and... Read more »

Statistical methods for single-cell and spatial RNA-seq

Dr. Christina Kendziorski's research concerns statistical methods and software for computational biology and genomics. Her group develops statistical methods and software for the analysis of data from high-throughput genomics experiments and have considerable expertise in the experimental design and analysis of bulk RNA-seq studies and in single-cell RNA-seq. The group also uses high-throughput data from... Read more »

Identifying effector genes of human GWAS variants by INFIMA

Dr. Sunduz Keles will give a biostatistics talk titled "Identifying effector genes of human GWAS variants by INFIMA". The Keles Research Group is interested in statistical and computational genomics and develops statistical and computational data science methods for problems in high-dimensional genomic and biomedical data. The group will exploit, leverage and integrate high-throughput functional, genomic,... Read more »

Small Area Estimation in Low-and Middle-Income Countries

Dr. Jonathan Wakefield worked internationally and at University of Washington since 1999 in the Departments of Statistics and Biostatistics; he was Chair of the Dept. of Statistics from 2009-2011. His current work is on methods for modeling health and demographic outcomes in a low- and medium-income (LMIC) context and he is collaborating with the United... Read more »