Bayesian Interrupted Time Series for evaluating policy change on mental well-being: an application to England's welfare reform
评估政策对心理福祉影响的贝叶斯中断时间序列：英格兰福利改革应用
Factors contributing to social inequalities are also associated with negative mental health outcomes leading to disparities in mental well-being. We propose a Bayesian hierarchical model which can evaluate the impact of policies on population well-being, accounting for spatial/temporal dependencies. Building on an interrupted time series framework, our approach can evaluate how different profiles of individuals are affected in different ways, whilst accounting for their…