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Causality : statistical perspectives and applications

Author: Carlo Berzuini; Philip Dawid; Luisa Bernardinelli
Publisher: Hoboken, N.J. : Wiley, 2012.
Series: Wiley series in probability and statistics.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
"This book looks at a broad collection of contributions from experts in their fields"--
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Berzuini, Carlo.
Causality.
Hoboken, N.J. : Wiley, 2012
(DLC) 2011049795
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Carlo Berzuini; Philip Dawid; Luisa Bernardinelli
ISBN: 9781119941736 1119941733 9781119945703 1119945704 9781119941743 1119941741 9781119945710 1119945712 0470665564 9780470665565
OCLC Number: 772611169
Description: 1 online resource.
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.
Series Title: Wiley series in probability and statistics.
Responsibility: Carlo Berzuini, Philip Dawid, Luisa Bernardinelli.
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Abstract:

Providing a thorough treatment on statistical causality, this resource presents a broad collection of contributions from experts in their fields. Methods and their applications are provided with  Read more...

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