"Provides current models, tools, and examples for the formulation and evaluation of scientific hypotheses in causal terms. Introduces a new method of model parametritization. Illustrates structural equations and graphical elements for complex causal systems."
"Provides current models, tools, and examples for the formulation and evaluation of scientific hypotheses in causal terms. Introduces a new method of model parametritization. Illustrates structural equations and graphical elements for complex causal systems."
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.
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.
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