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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Bibliographic Details
Other Authors: Berzuini, Carlo, Dawid, Philip, Bernardinelli, Luisa
Language:English
Published: Chichester, West Sussex : Wiley, 2012.
Series:Wiley series in probability and statistics.
Subjects:
Physical Description:xxv, 377 pages : illustrations ; 26 cm.
Format: Book

MARC

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245 0 0 |a Causality :  |b statistical perspectives and applications /  |c edited by Carlo Berzuini, Philip Dawid, Luisa Bernardinelli. 
260 |a Chichester, West Sussex :  |b Wiley,  |c 2012. 
300 |a xxv, 377 pages :  |b illustrations ;  |c 26 cm. 
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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. 
650 0 |a Estimation theory.  |0 http://id.loc.gov/authorities/subjects/sh85044957 
650 0 |a Causation.  |0 http://id.loc.gov/authorities/subjects/sh85021459 
650 0 |a Causality (Physics)  |0 http://id.loc.gov/authorities/subjects/sh85021458 
650 7 |a MATHEMATICS / Probability & Statistics / General.  |2 bisacsh 
700 1 |a Berzuini, Carlo.  |0 http://id.loc.gov/authorities/names/n88060506 
700 1 |a Dawid, Philip.  |0 http://id.loc.gov/authorities/names/no2005071327 
700 1 |a Bernardinelli, Luisa.  |0 http://id.loc.gov/authorities/names/n2011085302 
830 0 |a Wiley series in probability and statistics.  |0 http://id.loc.gov/authorities/names/n98048834 
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