Marginal Mean Models for Dynamic Regimes
- 1 December 2001
- journal article
- Published by Informa UK Limited in Journal of the American Statistical Association
- Vol. 96 (456), 1410-1423
- https://doi.org/10.1198/016214501753382327
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.Keywords
This publication has 19 references indexed in Scilit:
- Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse ModelsJournal of the American Statistical Association, 1999
- Measurements, Regression, and Calibration.Journal of the American Statistical Association, 1996
- Semiparametric Efficiency in Multivariate Regression Models with Missing DataJournal of the American Statistical Association, 1995
- Semiparametric regression estimation in the presence of dependent censoringBiometrika, 1995
- Estimation of Regression Coefficients When Some Regressors Are Not Always ObservedJournal of the American Statistical Association, 1994
- Systolic Hypertension in the Elderly Program (SHEP). Part 1: Rationale and design.Hypertension, 1991
- Statistics and Causal Inference: Comment: Which Ifs Have Causal AnswersJournal of the American Statistical Association, 1986
- Statistics and Causal InferenceJournal of the American Statistical Association, 1986
- Bayesian Inference for Causal Effects: The Role of RandomizationThe Annals of Statistics, 1978
- Maximum-Likelihood Estimation of Parameters Subject to RestraintsThe Annals of Mathematical Statistics, 1958