domainscausal
Domains causal, or domainscausal, is a term used in causal inference to describe frameworks and methods for understanding how causal effects identified in one domain can be valid in others. The approach recognizes that causal mechanisms and data-generating processes often vary across domains, requiring analysis that accounts for domain-specific structure while seeking transferrable conclusions.
Key concepts include domain-specific structural causal models, transportability and external validity of causal effects, selection diagrams
Methodology typically involves constructing separate causal models for each domain, assessing identifiability of causal effects within
Applications span policy evaluation across geographic or administrative domains, comparative effectiveness research in diverse patient populations,
Challenges include heterogeneity of mechanisms, unmeasured confounding that differs by domain, partial observability, and difficulties in