Bayesian Nonparametric Modeling of Restricted Mean Survival Time

Presented by Sanjib Basu, PhD

Distinguished Professor, University of Illinois Chicago
Director, Center for Biostatistical Development

Wednesday, Oct 18 2023
4:00 PM-5:00 PM ET
AUST 110
Webex Meeting Link

Restricted mean survival time (RMST) is increasingly being used in planning and analyzing time-to-event outcome in clinical, medical and health sciences. The concept of RMST is model independent and its popularity stems from its advantages as a summary in survival analysis over other conventional measures such as the hazard ratio. We develop a Bayesian nonparametric model for RMST and develop subject-level RMST inference as well as group-level causal inference of average treatment effect. We evaluate performance of the proposed Bayesian nonparametric approach and compare with non-Bayesian methods. We present an application of our proposed approach to analyze data from a metastatic colorectal cancer trial.

Speaker Bio:

Sanjib Basu is a Distinguished Professor of University of Illinois Chicago and holds the Endowed Paul Levy and Virginia F. Tomasek Professorship of Biostatistics. He leads the Section of Biostatistics at UIC and is the Principal Investigator of the Population Health Analytics, Metrics and Evaluation (PHAME) center. He is a Past President of International Indian Statistical Association, a Fellow of the American Statistical Association, and an Elected Member of the International Statistical Institute. Dr. Basu graduated with a PhD in Statistics from Purdue University and previously served as a Presidential Research Professor and Director of the Division of Statistics at Northern Illinois University. He also serves as the Faculty Mentor for the Biostatistics Students Association at UIC.