18. ‘Natural Experiments’ as a Means of Testing Causal Inferences

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

Published Online: 25 JUN 2012

DOI: 10.1002/9781119945710.ch18

Causality: Statistical Perspectives and Applications

Causality: Statistical Perspectives and Applications

How to Cite

Rutter, M. (2012) ‘Natural Experiments’ as a Means of Testing Causal Inferences, in Causality: Statistical Perspectives and Applications (eds C. Berzuini, P. Dawid and L. Bernardinelli), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781119945710.ch18

Editor Information

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

Author Information

  1. MRC SGDP Centre, Institute of Psychiatry, London, 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:

  • ‘Natural experiments’ testing causal inferences;
  • measures, and target populations specified;
  • noncausal interpretations of association;
  • reverse causation, a key issue;
  • uncertainties regarding unmeasured confounders;
  • SEMs, treating confounders as latent variables;
  • ‘Natural experiments’ naturally occurring, in separating variables;
  • the twin strategy, use of multivariate twin analyses;
  • MR, genotype in hypothesised cause, RD for unmeasured confounders

Summary

This chapter contains sections titled:

  • Introduction

  • Noncausal interpretations of an association

  • Dealing with confounders

  • ‘Natural experiments’

  • Overall conclusion on ‘natural experiments’

  • Acknowledgement

  • References