Marginal Mean Models for Dynamic Regimes.
نویسندگان
چکیده
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, the use of 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.
منابع مشابه
Dynamic regime marginal structural mean models for estimation of optimal dynamic treatment regimes, Part I: main content.
Dynamic treatment regimes are set rules for sequential decision making based on patient covariate history. Observational studies are well suited for the investigation of the effects of dynamic treatment regimes because of the variability in treatment decisions found in them. This variability exists because different physicians make different decisions in the face of similar patient histories. I...
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عنوان ژورنال:
- Journal of the American Statistical Association
دوره 96 456 شماره
صفحات -
تاریخ انتشار 2001