Bayesian inference on average treatment effects in the PreventS trial data in the presence of unmeasured confounding
未测混杂下 PreventS 试验平均处理效应的贝叶斯推断
Using the PreventS trial data, our objective is to estimate average effects of a Health Wellness Coaching (HWC) intervention on improvement of cardiovascular health at 9 months post randomization and in three consecutive 3-month periods over 9 months post randomization. Conventional approaches, including instrumental variable models, are not applicable in the presence of multiple correlated multivalued exposures and unmeasured confounding. We propose a causal framework and…