Marginal mean models for dynamic regimes

Conduct Problems prevention Research Group

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267 Scopus citations

Abstract

A dynamic treatment regime is a list of rules for how the level of treatment will be tailored through time to an individual's changing severity. In general, individuals who receive the highest level of treatment are the individuals with the greatest severity and need for treatment. Thus, there is planned selection of the treatment dose. In addition to the planned selection mandated by the treatment rules, staff judgment results in unplanned selection of the treatment level. Given observational longitudinal data or data in which there is unplanned selection of the treatment level, the methodology proposed here allows the estimation of a mean response to a dynamic treatment regime under the assumption of sequential randomization.

Original languageEnglish (US)
Pages (from-to)1410-1423
Number of pages14
JournalJournal of the American Statistical Association
Volume96
Issue number456
DOIs
StatePublished - Dec 1 2001

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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