edited by Carlo Berzuini, Philip Dawid, Luisa Bernardinelli.
1 online resource (xxv, 377 pages) :
illustrations.
Wiley series in probability and statistics
Includes bibliographical references and index
Statistical causality : some historical remarks -- The language of potential outcomes -- Structural equations, graphs and interventions -- The decision-theoretic approach to causal inference -- Causal inference as a prediction problem : assumptions, identification, and evidence synthesis -- Graph-based criteria of identifiability of causal questions -- Causal inference from observational data : a Bayesian predictive approach -- Assessing dynamic treament stategies -- Causal effects and natural laws : towards a conceptualization of causal counterfactuals for nonmanipulable exposures, with application to the effects of race and sex -- Cross-classifications by joint potential outcomes -- Estimation of direct and indirect effects -- The mediation formula : a guide to the assessment of causal pathways in nonlinear models -- The sufficient cause framework in statistics, philosophy and the biomedical and social sciences -- Analysis of interaction for identifying causal mechanisms -- Ion channels as a possible mechanism of neruodegeneration in multiple sclerosis -- Supplementary variables for causal estimation -- Time-varying confounding : some practical considerations in a likelihood framework -- 'Natural experiments' as a means of testing causal inferences -- Nonreactive and purely reactive doses in observational studies -- Evaluation of potential mediators in randomised trials of complex interventions (psychotherapies) -- Causal inference in clinical trials -- Causal inference in time series analysis -- Dynamic molecular networks and mechanisms in the biosciences : a statistical framework
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