The Biostatistics Seminar Series presents:
“Bayesian Approaches to Causal Estimation” by Dr. Kuan Liu, Dalla Lana School of Public Health
Abstract: Bayesian methods are often of interest in clinical research. In the context of comparative effectiveness study, Bayesian methods return probabilistic summaries of the treatment effect which can be easily interpreted and used by clinicians and patients. Moreover, Bayesian modelling can incorporate prior beliefs from expert and past evidence and provide a flexible framework for causal sensitivity analysis and covariates selection. In this talk, I will provide i) a gentle introduction to causal inference, ii) a review of current Bayesian causal approaches in both the point-treatment setting and the time-varying treatment setting, and iii) comments on extensions to address violation of causal assumptions. I will close the talk with a discussion of possible future research directions.
For Dr. Liu’s biosketch, please see https://www.kuan-liu.com/
Register in advance for this seminar via https://phesc.zoom.us/meeting/register/tZElcOmtqzopGNbVsrloYNnicaRYjHQu0HIq