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Causality: Statistical Perspectives and Applications

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Causality: Statistical Perspectives and Applications Cover

 

Synopses & Reviews

Publisher Comments:

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

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

Product Details

ISBN:
9781119941736
Subtitle:
Statistical Perspectives and Applications
Publisher:
Wiley
Editor:
Dawid, Philip
Editor:
Bernardinell, Luisa
Editor:
Berzuini, Carlo
Author:
Dawid, Philip
Author:
Bernardinell, Luisa
Author:
Berzuini, Carlo
Subject:
Statistics
Subject:
Time Series
Subject:
R, STATA, SAS, Causal inference, causal relationship, cause effect statistics, statistical causality, Causal inference, statistics
Subject:
Estimation theory
Subject:
Causation
Subject:
Mathematics : Probability & Statistics - General
Copyright:
Series:
Wiley Series in Probability and Statistics
Publication Date:
20120604
Binding:
Electronic book text in proprietary or open standard format
Language:
English
Pages:
416
Dimensions:
244 x 168 x 15 mm 24 oz

Related Subjects

Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Causality: Statistical Perspectives and Applications
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Product details 416 pages Wiley - English 9781119941736 Reviews:
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