TY  - BOOK
AU  - Berzuini,Carlo
AU  - Dawid,Philip
AU  - Bernardinelli,Luisa
TI  - Causality: statistical perspectives and applications 
T2  - Wiley series in probability and statistics
SN  - 9781119941736
AV  - QA276.8 
U1  - 519.5/44 23
PY  - 2012///
CY  - Hoboken, N.J.
PB  - Wiley
KW  - Estimation theory
KW  - Causation
KW  - Causality (Physics)
KW  - MATHEMATICS
KW  - Probability & Statistics
KW  - General
KW  - bisacsh
KW  - fast
KW  - Electronic books
N1  - 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; ssh
N2  - "This book looks at a broad collection of contributions from experts in their fields"--
UR  - http://dx.doi.org/10.1002/9781119945710
ER  -