A Unified Three-Stage Weighting Framework for Causal Inference and Mediation Analysis under Case-Control Sampling
The framework estimates total and pathway-specific causal effects from case-control studies without needing to know population outcome prevalence. It achieves this through a three-stage process: recovering prevalence, reconstructing a pseudo-population using design weights, and applying stabilized causal weights. This method provides robust mediation analysis under sampling bias.