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The Resource Causality : statistical perspectives and applications, edited by Carlo Berzuini, Philip Dawid, Luisa Bernardinelli, (electronic resource)

Causality : statistical perspectives and applications, edited by Carlo Berzuini, Philip Dawid, Luisa Bernardinelli, (electronic resource)

Label
Causality : statistical perspectives and applications
Title
Causality
Title remainder
statistical perspectives and applications
Statement of responsibility
edited by Carlo Berzuini, Philip Dawid, Luisa Bernardinelli
Contributor
Subject
Language
eng
Summary
"This book looks at a broad collection of contributions from experts in their fields"--
Member of
Assigning source
Provided by publisher
Cataloging source
MiAaPQ
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Wiley series in probability and statistics
Causality : statistical perspectives and applications, edited by Carlo Berzuini, Philip Dawid, Luisa Bernardinelli, (electronic resource)
Label
Causality : statistical perspectives and applications, edited by Carlo Berzuini, Philip Dawid, Luisa Bernardinelli, (electronic resource)
Link
http://libproxy.rpi.edu/login?url=https://ebookcentral.proquest.com/lib/connectny/detail.action?docID=927597
Publication
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Bibliography note
Includes bibliographical references and index
Color
multicolored
Contents
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
Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b4048820'}
Extent
xxv, 377 p.
Form of item
  • online
  • electronic
Other physical details
ill.
Reproduction note
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Specific material designation
remote

Library Locations

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      42.729766 -73.682577
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