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Details

Autor(en) / Beteiligte
Titel
Causality : statistical perspectives and applications
Auflage
1st ed
Beschreibungen/Notizen
  • Description based upon print version of record.
  • 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"--
  • English
  • Description based on print version record and CIP data provided by publisher.
Sprache
Englisch
Identifikatoren
ISBN: 1-119-94173-3, 1-280-67923-9, 9786613656162, 1-119-94571-2, 1-119-94570-4
OCLC-Nummer: 772611169
Titel-ID: 9925037412806463
Format
1 online resource (415 p.)
Schlagworte
Estimation theory, Causation, Causality (Physics)