10. Cross-Classifications by Joint Potential Outcomes

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

Published Online: 25 JUN 2012

DOI: 10.1002/9781119945710.ch10

Causality: Statistical Perspectives and Applications

Causality: Statistical Perspectives and Applications

How to Cite

Sjölander, A. (2012) Cross-Classifications by Joint Potential Outcomes, in Causality: Statistical Perspectives and Applications (eds C. Berzuini, P. Dawid and L. Bernardinelli), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781119945710.ch10

Editor Information

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

Author Information

  1. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden

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:

  • cross-classifications by joint potential outcomes;
  • observational studies, causal effects in general, as not identifiable;
  • unmeasured confounding, using IV techniques;
  • standard analyses for randomized trials with imperfect compliance, ITT and AT;
  • complier causal effect in randomized trials, with imperfect compliance;
  • complier causal effect identification, and assumption of monotonicity;
  • complier causal effect, on consistency assumption, exchangeability, exclusion restriction;
  • cross-classifications by joint potential outcomes;
  • ‘principal stratification’, special cross-classification by joint potential outcomes

Summary

This chapter contains sections titled:

  • Introduction

  • Bounds for the causal treatment effect in randomized trials with imperfect compliance

  • Identifying the complier causal effect in randomized trials with imperfect compliance

  • Defining the appropriate causal effect in studies suffering from truncation by death

  • Discussion

  • References