LEADER 03829nam 2200709 a 450 001 9910139088403321 005 20211117122115.0 010 $a1-119-94173-3 010 $a1-280-67923-9 010 $a9786613656162 010 $a1-119-94571-2 010 $a1-119-94570-4 035 $a(CKB)2560000000082830 035 $a(EBL)927597 035 $a(OCoLC)772611169 035 $a(SSID)ssj0000661389 035 $a(PQKBManifestationID)11395597 035 $a(PQKBTitleCode)TC0000661389 035 $a(PQKBWorkID)10711422 035 $a(PQKB)10822921 035 $a(MiAaPQ)EBC927597 035 $a(DLC) 2012001517 035 $a(Au-PeEL)EBL927597 035 $a(CaPaEBR)ebr10580236 035 $a(CaONFJC)MIL365616 035 $a(PPN)164015124 035 $a(EXLCZ)992560000000082830 100 $a20120111d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aCausality$b[electronic resource] $estatistical perspectives and applications /$fedited by Carlo Berzuini, Philip Dawid, Luisa Bernardinelli 210 $aChichester, West Sussex, U.K. $cWiley$d2012 215 $a1 online resource (415 p.) 225 1 $aWiley series in probability and statistics 300 $aDescription based upon print version of record. 311 $a0-470-66556-4 320 $aIncludes bibliographical references and index. 327 $aStatistical 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. 330 $a"This book looks at a broad collection of contributions from experts in their fields"--$cProvided by publisher. 410 0$aWiley series in probability and statistics. 606 $aEstimation theory 606 $aCausation 606 $aCausality (Physics) 615 0$aEstimation theory. 615 0$aCausation. 615 0$aCausality (Physics) 676 $a519.5/44 686 $aMAT029000$2bisacsh 700 $aBerzuini$b Carlo$027081 701 $aBerzuini$b Carlo$027081 701 $aDawid$b Philip$0962991 701 $aBernardinelli$b Luisa$0962992 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910139088403321 996 $aCausality$92183562 997 $aUNINA