Causality : statistical perspectives and applications / / edited by Carlo Berzuini, Philip Dawid, Luisa Bernardinelli.
"This book looks at a broad collection of contributions from experts in their fields"--
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Superior document: | Wiley series in probability and statistics |
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TeilnehmendeR: | |
Year of Publication: | 2012 |
Language: | English |
Series: | Wiley series in probability and statistics.
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Online Access: | |
Physical Description: | xxv, 377 p. :; ill. |
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082 | 0 | 4 | |a 519.5/44 |2 23 |
245 | 0 | 0 | |a Causality |h [electronic resource] : |b statistical perspectives and applications / |c edited by Carlo Berzuini, Philip Dawid, Luisa Bernardinelli. |
260 | |a Chichester, West Sussex, U.K. : |b Wiley, |c 2012. | ||
300 | |a xxv, 377 p. : |b ill. | ||
490 | 1 | |a Wiley series in probability and statistics | |
504 | |a Includes bibliographical references and index. | ||
505 | 0 | |a 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. | |
520 | |a "This book looks at a broad collection of contributions from experts in their fields"-- |c Provided by publisher. | ||
533 | |a Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. | ||
650 | 0 | |a Estimation theory. | |
650 | 0 | |a Causation. | |
650 | 0 | |a Causality (Physics) | |
655 | 4 | |a Electronic books. | |
700 | 1 | |a Berzuini, Carlo. | |
700 | 1 | |a Dawid, Philip. | |
700 | 1 | |a Bernardinelli, Luisa. | |
710 | 2 | |a ProQuest (Firm) | |
830 | 0 | |a Wiley series in probability and statistics. | |
856 | 4 | 0 | |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=927597 |z Click to View |