Causality [[electronic resource] ] : statistical perspectives and applications / / edited by Carlo Berzuini, Philip Dawid, Luisa Bernardinelli

• Record Nr.: UNINA9910139088403321
• Autore: Berzuini Carlo
• Pubbl/distr/stampa: Chichester, West Sussex, U.K., : Wiley, 2012
• ISBN: 1-119-94173-3; 1-280-67923-9; 9786613656162; 1-119-94571-2; 1-119-94570-4
• Descrizione fisica: 1 online resource (415 p.)
• Collana: Wiley series in probability and statistics
• Classificazione: MAT029000
• Altri autori (Persone): BerzuiniCarlo; DawidPhilip; BernardinelliLuisa
• Disciplina: 519.5/44
• Soggetti: Estimation theory; Causation; Causality (Physics)
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Statistical causality : some historical remarks -- The language of potential outcomes -- Structural equations, graphs and interventions -- The decision-theoretic approach to causal -- 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 -- Causal inference from observing sequences of actions -- Causal effects and natural laws : towards a conceptualization of causal counterfactuals -- For non-manipulable 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 -- Inference about biological ; mechanism on the basis of epidemiological data -- Ion channels and 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 randomized trials of complex interventions (psychotherapies) -- Causal inference in clinical trials -- Granger causality and causal inference in time series analysis -- Dynamic molecular networks and mechanisms iIn the biosciences : a statistical framework.
• Sommario/riassunto: "This book looks at a broad collection of contributions from experts in their fields"--