4. The Decision-Theoretic Approach to Causal Inference

  1. Carlo Berzuini,
  2. Philip Dawid and
  3. Luisa Bernardinelli
  1. Philip Dawid

Published Online: 25 JUN 2012

DOI: 10.1002/9781119945710.ch4

Causality: Statistical Perspectives and Applications

Causality: Statistical Perspectives and Applications

How to Cite

Dawid, P. (2012) The Decision-Theoretic Approach to Causal Inference, in Causality: Statistical Perspectives and Applications (eds C. Berzuini, P. Dawid and L. Bernardinelli), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781119945710.ch4

Editor Information

  1. Statistical Laboratory, Centre for Mathematical Sciences, University of Cambridge, Cambridge, UK

Author Information

  1. Statistical Laboratory, Centre for Mathematical Sciences, University of Cambridge, Cambridge, UK

Publication History

  1. Published Online: 25 JUN 2012
  2. Published Print: 13 JUL 2012

Book Series:

  1. Wiley Series in Probability and Statistics

Book Series Editors:

  1. Walter A. Shewhart and
  2. Samuel S. Wilks

ISBN Information

Print ISBN: 9780470665565

Online ISBN: 9781119945710

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Keywords:

  • causal inference, and the DT approach;
  • causal inference problems, propensity, variables and treatment effect;
  • DT, and potential response modelling and causal graphs;
  • DT explication of concept of ACE;
  • DT, causal and associational concepts and quantities;
  • Fisherian/decision-theoretic approach;
  • causal inference, information transfer from one ‘regime’ to another;
  • algebraic theory of conditional independence, causal assertions as ECI relations;
  • ‘propensity analysis’ and decision-theoretic version;
  • Pearlian, DT specialisation, ECI with DAG-related, structure

Summary

This chapter contains sections titled:

  • Introduction

  • Decision theory and causality

  • No confounding

  • Confounding

  • Propensity analysis

  • Instrumental variable

  • Effect of treatment of the treated

  • Connections and contrasts

  • Postscript

  • Acknowledgements

  • References