Analysis objective 4: Investigate possible sources of heterogeneity in intervention responses
depression, PTSD, anxiety
Last, we considered individual causal effects of the empowerment intervention on mental health measures. We predicted the conditional average treatment effect (CATE); here “conditional” indicates that this is the predicted treatment effect conditional on the covariates we observe about an individual. A local linear causal forest model for individual log PTSD scores was used. The model was trained with inverse probability of dropout weights. Unlike our prior analysis, this method assumes no specific model and instead adaptively learns patterns in the data [This section focuses on PTSD for brevity; analogous results for depression and anxiety are included in 