A state of the art volume on statistical causality Causality: Statistical Perspectives and Applications presents a wide-ranging collection of seminal contributions by renowned experts in the field, providing a thorough treatment of all aspects of statistical causality. It covers the various formalisms in current use, methods for applying them to specific problems, and the special requirements of a range of examples from medicine, biology and economics to political science. This book: Provides a clear account and comparison of formal languages, concepts and models for statistical causality. Addresses examples from medicine, biology, economics and political science to aid the reader's understanding. Is authored by leading experts in their field. Is written in an accessible style. Postgraduates, professional statisticians and researchers in academia and industry will benefit from this book.

A state of the art volume on statistical causalityCausality: Statistical Perspectives and Applications presents a wide-ranging collection of seminal contributions by renowned experts in the field, providing a thorough treatment of all aspects of statistical causality. It covers the various formalisms in current use, methods for applying them to specific problems, and the special requirements of a range of examples from medicine, biology and economics to political science.This book:* Provides a clear account and comparison of formal languages, concepts and models for statistical causality.* Addresses examples from medicine, biology, economics and political science to aid the reader's understanding.* Is authored by leading experts in their field.* Is written in an accessible style.Postgraduates, professional statisticians and researchers in academia and industry will benefit from this book.

Preface (editors)1 Statistical Causality: Some Historical RemarksAUTHOR(S): D.R. Cox2 The Language of Potential OutcomesAUTHOR(S): Arvid Sjolander3 Structural Equations, Graphs and InterventionsAUTHOR(S): Ilya Shpitser4 The Decision-Theoretic Approach to Causal InferenceAUTHOR(S): A. Philip Dawid5 Causal Inference as a Prediction Problem: Assumptions, Identification, and Evidence SynthesisAUTHOR(S): Sander Greenland6 Graph-Based Criteria of Identifiability of Causal QuestionsAUTHOR(S): Ilya Shpitser7 Causal inference from observational data: a Bayesian predictive approachAUTHOR(S): Elja Arjas8 Causal Inference from Observing Sequences of Actions9 Causal Effects and Natural Laws: towards a Conceptualization of Causal Counterfactuals for Non-Manipulable Exposures, with Application to the Effects of Race and SexAUTHOR(S): Tyler J. VanderWeele and Miguel A. Hernan10 Cross-Classifications by Joint Potential OutcomesAUTHOR(S): Arvid Sjolander11 Estimation of Direct and Indirect EffectsAUTHOR(S): Stijn Vansteelandt12 The Mediation Formula: A Guide to the Assessment of Causal Pathways in Nonlinear ModelsAUTHOR(S): Judea Pearl13 The Sufficient Cause Framework in Statistics, Philosophy and the Biomedical and Social SciencesAUTHOR(S): Tyler J. VanderWeele14 Inference about Biological Mechanism on the Basis of Epidemiological DataAUTHOR(S): Carlo Berzuini and A. Philip Dawid15 Ion Channels and Multiple SclerosisAUTHOR(S): Luisa Bernardinelli, Carlo Berzuini, Luisa Foco and Roberta Pastorino16 Supplementary Variables For Causal EstimationAUTHOR(S): Roland R. Ramsahai17 Time-Varying Confounding: Some Practical Considerations in a Likelihood FrameworkAUTHOR(S): Rhian Daniel, Bianca De Stavola and Simon Cousens18 Natural Experiments as a Means of Testing Causal InferencesAUTHOR(S): Michael Rutter19 Nonreactive and Purely Reactive Doses in Observational StudiesAUTHOR(S): Paul R. Rosenbaum20 Evaluation of PotentialMediators in Randomized Trials of Complex Interventions(Psychotherapies)AUTHOR(S): Richard Emsley and Graham Dunn21 Causal Inference in Clinical TrialsAUTHOR(S): Krista Fischer and Ian R. White22 Granger Causality and Causal Inference in Time Series AnalysisAUTHOR(S): Michael Eichler23 Dynamic Molecular Networks and Mechanisms in the Biosciences: A StatisticalFrameworkAUTHOR(S): Clive G. BowsherIndex