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Causality: statistical perspectives and applications

Contributor(s): Berzuini, Carlo [Editor] | Dawid, Philip [Editor] | Bernardinelli, Luisa [Editor].
Series: Wiley Series in Probability and Statistics. Publisher: United Kingdom A John Wiley & Sons 2012Description: xxv, 377 p.ISBN: 9780470665565.Subject(s): Estimation theory | Causation | Causality - Physics | Mathematics - Probability and statistics - GeneralDDC classification: 519.544 Summary: 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. (http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470665564.html)
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Slot 1677 (2 Floor, East Wing) Non-fiction 519.544 C2 (Browse shelf) Checked out 18/05/2020 192875

Table of Contents:

1 Statistical causality: Some historical remarks

2 The language of potential outcomes

3 Structural equations, graphs and interventions

4 The decision-theoretic approach to causal inference

5 Causal inference as a prediction problem: Assumptions, identification, and evidence synthesis

6 Graph-based criteria of identifiability of causal questions

7 Causal inference from observational data: A Bayesian predictive approach

8 Assessing dynamic treatment strategies

9 Causal effects and natural laws: Towards a conceptualization of causal counterfactuals for nonmanipulable exposures, with application to the effects of race and sex

10 Cross-classifications by joint potential outcomes

11 Estimation of direct and indirect effects

12 The mediation formula: A guide to the assessment of causal pathways in nonlinear models 151

13 The sufficient cause framework in statistics, philosophy and the biomedical and social sciences

14 Analysis of interaction for identifying causal mechanisms

15 Ion channels as a possible mechanism of neurodegeneration in multiple sclerosis

16 Supplementary variables for causal estimation

17 Time-varying confounding: Some practical considerations in a likelihood framework

18 ‘Natural experiments’ as a means of testing causal inferences

19 Nonreactive and purely reactive doses in observational studies

20 Evaluation of potential mediators in randomised trials of complex interventions (psychotherapies)

21 Causal inference in clinical trials

22 Causal inference in time series analysis

23 Dynamic molecular networks and mechanisms in the biosciences: A statistical framework

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.

(http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470665564.html)

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