Causality: statistical perspectives and applications
by Bernardinelli, Luisa Berzuini, Carlo Dawid, Philip
"This book looks at a broad collection of contributions from experts in their fields"--
Read More ↓Title Statements
- Full title :Causality : statistical perspectives and applications / edited by Carlo Berzuini, Philip Dawid, Luisa Bernardinelli.
Summary
"This book looks at a broad collection of contributions from experts in their fields"--
Read More ↓Edition Statements
- Publication Date:2012.
Publication Statements
- Publisher(s):Wiley
- Place of Publication:Chichester, West Sussex, U.K
- Language:eng
- Publication Date:2012.
The Physical Object
- Description:1 online resource (xxv, 377 p.) : : illustrations.
Edition Identifiers
- ISBN:9780470665565, 0470665564, 9781119945703, 1119945704
- oclc:ocn929414921
- LC Classification:QA276.8
- Dewey Decimal:519.5/44
Table of Contents
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 …
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