Causality Statistical Perspectives and Applications

by Berzuini, Carlo; Dawid, Philip; Bernardinell, Luisa

• ISBN13: 9780470665565
• ISBN10: 0470665564
• Edition: 1st
• Format: Hardcover
• Copyright: 2012-08-13
• Publisher: Wiley

Summary

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.

Author Biography

Carlo Berzuini and Philip Dawid, Statistical Labority, centre for Mathematical Sciences, University of Cambridge, UK. Luisa Bernardinelli, MRC Biostatistics Unit, Institute of Public Health, Cambridge, UK.

Table of Contents

Preface (editors)

Statistical Causality: Some Historical Remarks AUTHOR(S)

The Language of Potential Outcomes AUTHOR(S)

Structural Equations, Graphs and Interventions AUTHOR(S)

The Decision-Theoretic Approach to Causal Inference AUTHOR(S)

Causal Inference as a Prediction Problem: Assumptions, Identification, and Evidence Synthesis AUTHOR(S)

Graph-Based Criteria of Identifiability of Causal Questions AUTHOR(S)

Causal inference from observational data: a Bayesian predictive approach AUTHOR(S)

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 AUTHOR(S)

Cross-Classifications by Joint Potential Outcomes AUTHOR(S)

Estimation of Direct and Indirect Effects AUTHOR(S)

The Mediation Formula: A Guide to the Assessment of Causal Pathways in Nonlinear Models AUTHOR(S)

The Sufficient Cause Framework in Statistics, Philosophy and the Biomedical and Social Sciences AUTHOR(S)

Inference about Biological Mechanism on the Basis of Epidemiological Data AUTHOR(S)

Ion Channels and Multiple Sclerosis AUTHOR(S)

Supplementary Variables For Causal Estimation AUTHOR(S)

Time-Varying Confounding: Some Practical Considerations in a Likelihood Framework AUTHOR(S)

Natural Experiments as a Means of Testing Causal Inferences AUTHOR(S)

Nonreactive and Purely Reactive Doses in Observational Studies AUTHOR(S)

Evaluation of PotentialMediators in Randomized Trials of Complex Interventions(Psychotherapies) AUTHOR(S)

Causal Inference in Clinical Trials AUTHOR(S)

Granger Causality and Causal Inference in Time Series Analysis AUTHOR(S)

Dynamic Molecular Networks and Mechanisms in the Biosciences: A Statistical Framework AUTHOR(S)

Index

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