000			03362nam a2200457 a 4500
001			EBC927597
003			MiAaPQ
005			20240120133547.0
006			m o d |
007			cr cn|||||||||
008			120111s2012 enka sb 001 0 eng d
010			_z 2011049795
020			_z9780470665565 (hardback)
020			_a9781119945703 (electronic bk.)
035			_a(MiAaPQ)EBC927597
035			_a(Au-PeEL)EBL927597
035			_a(CaPaEBR)ebr10580236
035			_a(CaONFJC)MIL365616
035			_a(OCoLC)772611169
040			_aMiAaPQ _cMiAaPQ _dMiAaPQ
050		4	_aQA276.8 _b.C38 2012
082	0	4	_a519.5/44 _223
245	0	0	_aCausality _h[electronic resource] : _bstatistical perspectives and applications / _cedited by Carlo Berzuini, Philip Dawid, Luisa Bernardinelli.
260			_aChichester, West Sussex, U.K. : _bWiley, _c2012.
300			_axxv, 377 p. : _bill.
490	1		_aWiley series in probability and statistics
504			_aIncludes bibliographical references and index.
505	0		_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.
520			_a"This book looks at a broad collection of contributions from experts in their fields"-- _cProvided by publisher.
533			_aElectronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
650		0	_aEstimation theory.
650		0	_aCausation.
650		0	_aCausality (Physics)
655		4	_aElectronic books.
700	1		_aBerzuini, Carlo.
700	1		_aDawid, Philip.
700	1		_aBernardinelli, Luisa.
710	2		_aProQuest (Firm)
830		0	_aWiley series in probability and statistics.
856	4	0	_uhttps://ebookcentral.proquest.com/lib/bacm-ebooks/detail.action?docID=927597 _zClick to View
999			_c79185 _d79185