8. Assessing Dynamic Treatment Strategies

  1. Carlo Berzuini,
  2. Philip Dawid and
  3. Luisa Bernardinelli
  1. Carlo Berzuini2,
  2. Philip Dawid2 and
  3. Vanessa Didelez1

Published Online: 25 JUN 2012

DOI: 10.1002/9781119945710.ch8

Causality: Statistical Perspectives and Applications

Causality: Statistical Perspectives and Applications

How to Cite

Berzuini, C., Dawid, P. and Didelez, V. (2012) Assessing Dynamic Treatment Strategies, in Causality: Statistical Perspectives and Applications (eds C. Berzuini, P. Dawid and L. Bernardinelli), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781119945710.ch8

Editor Information

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

Author Information

  1. 1

    Department of Mathematics, University of Bristol, Bristol, UK

  2. 2

    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

SEARCH

Keywords:

  • dynamic treatment strategies, HIV, AAA;
  • sequential data-gathering and decision-making processes;
  • sequential randomization condition, and ‘stability’ assumption;
  • Robins (1986) G-computation algorithm, sequential treatment;
  • probability models, ‘obs’ and ‘ex’ model;
  • distinction embodied in ‘regime indicator’, regime, ‘obs’ or ‘ex’, in operation;
  • treatment plan effects, identifiability;
  • descriptive versus causal inference;
  • ‘experimental regime’ modalities, environmental and technological;
  • sequential plan identifiability, and ‘causal DAG’

Summary

This chapter contains sections titled:

  • Introduction

  • Motivating example

  • Descriptive versus causal inference

  • Notation and problem definition

  • HIV example continued

  • Latent variables

  • Conditions for sequential plan identifiability

  • Graphical representations of dynamic plans

  • Abdominal aortic aneurysm surveillance

  • Statistical inference and computation

  • Transparent actions

  • Refinements

  • Discussion

  • Acknowledgements

  • References