Optimal dynamic treatment regimes

S. A. Murphy*, Elja Arjas, C. Jennison, A. P. Dawid, D. R. Cox, Stephen Senn, Robert G. Cowell, V. Didelez, Richard D. Gill, J. B. Kadane, James M. Robins

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

631 Citations (Scopus)

Abstract

A dynamic treatment regime is a list of decision rules, one per time interval, for how the level of treatment will be tailored through time to an individual's changing status. The goal of this paper is to use experimental or observational data to estimate decision regimes that result in a maximal mean response. To explicate our objective and to state the assumptions, we use the potential outcomes model. The method proposed makes smooth parametric assumptions only on quantities that are directly relevant to the goal of estimating the optimal rules. We illustrate the methodology proposed via a small simulation.

Original languageEnglish
Pages (from-to)331-355
Number of pages25
JournalJournal of the Royal Statistical Society. Series B: Statistical Methodology
Volume65
Issue number2
DOIs
Publication statusPublished - 2003
Externally publishedYes

Keywords

  • Adaptive strategies
  • Causal inference
  • Dynamic programming
  • Multistage decisions

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