A Bayesian nonparametric causal inference model for synthesizing randomized clinical trial and real‐world evidence

• Published in: Statistics in medicine Vol. 38; no. 14; pp. 2573 - 2588
• Main Authors: Wang, Chenguang, Rosner, Gary L.
• Format: Journal Article
• Language: English
• Published: England Wiley Subscription Services, Inc 30.06.2019
• Subjects: Bayesian analysis; Bayesian nonparametric hierarchical model; causal inference; Causality; Clinical trials; Medical statistics; Nonparametric statistics; propensity score; randomized clinical trial; real‐world evidence; Statistical inference; randomized clinical trial; real-world evidence; causal inference; Bayesian nonparametric hierarchical model; propensity score

With the wide availability of various real‐world data (RWD), there is an increasing interest in synthesizing information from both randomized clinical trials and RWD for health‐care decision makings. The task of addressing study‐specific heterogeneities is one of the most difficult challenges in syn...