Causal Analysis in Biomedicine and Epidemiology: Based on Minimal Sufficient Causation
Mikel G. Aickin · 2001
Orientation what is causation? naive minimal sufficient cause events and probabilities unitary algebra nontrivial implication tiny examples the one-factor model graphical elements causations structural equations the two-factor model Down Syndrome example marginalization stratification obesity example attribution indirect cause - probabilities indirect cause - structures reversal gestational diabetes example more reversal double reversal complex indirect cause dual causation - probabilities dual causation - structures paradoxical causation interventions causal covariance unitary rates functional causation the causation operator causal modelling dependence DAG theory.