Causality [electronic resource] : statistical perspectives and applications / edited by Carlo Berzuini, Philip Dawid, Luisa Bernardinelli.
Contributor(s): Berzuini, Carlo | Dawid, Philip | Bernardinelli, Luisa | ebrary, Inc.
Material type: BookSeries: Wiley series in probability and statistics: Publisher: Chichester, West Sussex, U.K. : Wiley, 2012Description: xxv, 377 p. : ill.Subject(s): Estimation theory | Causation | Causality (Physics)Genre/Form: Electronic books.DDC classification: 519.5/44 Online resources: An electronic book accessible through the World Wide Web; click to viewItem type | Current location | Collection | Call number | URL | Copy number | Status | Date due | Item holds |
---|---|---|---|---|---|---|---|---|
E-book | IUKL Library | Subscripti | http://site.ebrary.com/lib/kliuc/Doc?id=10580236 | 1 | Available |
Includes bibliographical references and index.
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.
"This book looks at a broad collection of contributions from experts in their fields"-- Provided by publisher.
Electronic reproduction. Palo Alto, Calif. : ebrary, 2013. Available via World Wide Web. Access may be limited to ebrary affiliated libraries.
There are no comments for this item.