Causality: Statistical Perspectives and Applications

Author:   Carlo Berzuini ,  Philip Dawid ,  Luisa Bernardinell
Publisher:   John Wiley and Sons Ltd
ISBN:  

9780470665565


Pages:   416
Publication Date:   13 July 2012
Format:   Hardback
Availability:   In Print   Availability explained
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Causality: Statistical Perspectives and Applications


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Overview

This book looks at a broad collection of contributions from experts in their fields. Providing a thorough treatment on statistical causality. Methods and their applications are provided with theoretical background and emphasis is given to practice rather than theory, with technical content kept to a minimum. Step-by-step instructions for using the methods are presented with a broad range of examples, including medicine, biology, economics, sociology and political science.

Full Product Details

Author:   Carlo Berzuini ,  Philip Dawid ,  Luisa Bernardinell
Publisher:   John Wiley and Sons Ltd
Imprint:   Wiley-Blackwell (an imprint of John Wiley & Sons Ltd)
Dimensions:   Width: 16.80cm , Height: 2.50cm , Length: 24.40cm
Weight:   0.771kg
ISBN:  

9780470665565


ISBN 10:   0470665564
Pages:   416
Publication Date:   13 July 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Preface (editors) 1 Statistical Causality: Some Historical Remarks AUTHOR(S): D.R. Cox 2 The Language of Potential Outcomes AUTHOR(S): Arvid Sjolander 3 Structural Equations, Graphs and Interventions AUTHOR(S): Ilya Shpitser 4 The Decision-Theoretic Approach to Causal Inference AUTHOR(S): A. Philip Dawid 5 Causal Inference as a Prediction Problem: Assumptions, Identification, and Evidence Synthesis AUTHOR(S): Sander Greenland 6 Graph-Based Criteria of Identifiability of Causal Questions AUTHOR(S): Ilya Shpitser 7 Causal inference from observational data: a Bayesian predictive approach AUTHOR(S): Elja Arjas 8 Causal Inference from Observing Sequences of Actions 9 Causal Effects and Natural Laws: towards a Conceptualization of Causal Counterfactuals for Non-Manipulable Exposures, with Application to the Effects of Race and Sex AUTHOR(S): Tyler J. VanderWeele and Miguel A. Hernan 10 Cross-Classifications by Joint Potential Outcomes AUTHOR(S): Arvid Sjolander 11 Estimation of Direct and Indirect Effects AUTHOR(S): Stijn Vansteelandt 12 The Mediation Formula: A Guide to the Assessment of Causal Pathways in Nonlinear Models AUTHOR(S): Judea Pearl 13 The Sufficient Cause Framework in Statistics, Philosophy and the Biomedical and Social Sciences AUTHOR(S): Tyler J. VanderWeele 14 Inference about Biological Mechanism on the Basis of Epidemiological Data AUTHOR(S): Carlo Berzuini and A. Philip Dawid 15 Ion Channels and Multiple Sclerosis AUTHOR(S): Luisa Bernardinelli, Carlo Berzuini, Luisa Foco and Roberta Pastorino 16 Supplementary Variables For Causal Estimation AUTHOR(S): Roland R. Ramsahai 17 Time-Varying Confounding: Some Practical Considerations in a Likelihood Framework AUTHOR(S): Rhian Daniel, Bianca De Stavola and Simon Cousens 18 Natural Experiments as a Means of Testing Causal Inferences AUTHOR(S): Michael Rutter 19 Nonreactive and Purely Reactive Doses in Observational Studies AUTHOR(S): Paul R. Rosenbaum 20 Evaluation of PotentialMediators in Randomized Trials of Complex Interventions(Psychotherapies) AUTHOR(S): Richard Emsley and Graham Dunn 21 Causal Inference in Clinical Trials AUTHOR(S): Krista Fischer and Ian R. White 22 Granger Causality and Causal Inference in Time Series Analysis AUTHOR(S): Michael Eichler 23 Dynamic Molecular Networks and Mechanisms in the Biosciences: A Statistical Framework AUTHOR(S): Clive G. Bowsher Index

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