Augmenting treatment arms with external data through propensity-score weighted power-priors: an application in expanded access
通过倾向得分加权幂先验将外部资料纳入治疗组
The incorporation of "real-world data" to supplement the analysis of trials and improve decision-making has spurred the development of statistical techniques to account for introduced confounding. Recently, "hybrid" methods have been developed through which measured confounding is first attenuated via propensity scores and unmeasured confounding is addressed through (Bayesian) dynamic borrowing. Most efforts to date have focused on augmenting control arms with historical…