Causality : statistical perspectives and applications /

"This book looks at a broad collection of contributions from experts in their fields"--

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Detalhes bibliográficos
Outros Autores: Berzuini, Carlo, Dawid, Philip, Bernardinelli, Luisa
Formato: Recurso Electrónico livro electrónico
Idioma:inglês
Publicado em: Chichester, West Sussex, U.K. : Wiley, 2012.
Colecção:Wiley series in probability and statistics.
Assuntos:
Acesso em linha:https://biblioteca.ues.edu.sv/acceso/elibro/?url=https%3A%2F%2Felibro.net%2Fereader%2Fbiblioues/185814
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245 0 0 |a Causality :  |b statistical perspectives and applications /  |c edited by Carlo Berzuini, Philip Dawid, Luisa Bernardinelli. 
264 1 |a Chichester, West Sussex, U.K. :  |b Wiley,  |c 2012. 
300 |a xxv, 377 p. :  |b ill. 
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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. 
588 |a Description based on metadata supplied by the publisher and other sources. 
590 |a Electronic resource. Santa Fe, Argentina: elibro, 2025. Available via the World Wide Web. Access may be limited to libraries affiliated with elibro. 
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. 
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830 0 |a Wiley series in probability and statistics. 
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