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| LEADER |
02504nam a2200241 a 4500 |
| 001 |
1807234 |
| 005 |
20171111234553.0 |
| 008 |
120111s2012 enka sb 001 0 eng d |
| 020 |
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|z 9780470665565 (hardback)
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| 040 |
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|a CaPaEBR
|z 9781119945703 (e-book)
|
| 050 |
1 |
4 |
|a QA276.8
|b .C38 2012eb
|
| 245 |
0 |
0 |
|a Causality
|b statistical perspectives and applications /
|c edited by Carlo Berzuini, Philip Dawid, Luisa Bernardinelli.
|
| 260 |
|
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|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 |
|
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|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.
|
| 650 |
|
0 |
|a Estimation theory.
|
| 650 |
|
0 |
|a Causation.
|
| 700 |
1 |
|
|a Dawid, Philip.
|
| 710 |
2 |
|
|a ebrary, Inc.
|
| 856 |
4 |
0 |
|u http://site.ebrary.com/lib/ucy/Doc?id=10580236
|
| 952 |
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|a CY-NiOUC
|b 5a045a6d6c5ad14ac1ed4fc6
|c 998a
|d 945l
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|z Books
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