期刊
BIOMETRICS
卷 63, 期 2, 页码 447-455出版社
WILEY-BLACKWELL
DOI: 10.1111/j.1541-0420.2006.00686.x
关键词
optimal dynamic regimes; optimal structural nested mean models; randomized controlled trials; sequential randomization; treatment algorithms
资金
- NCRR NIH HHS [5 M01 RR00722] Funding Source: Medline
- NIAID NIH HHS [U01 AI35039, R01 AI032475, U01 AI37613, U01 AI37984, U01 AI35042, U01 AI35041, U01 AI35043, U01 AI35040] Funding Source: Medline
A dynamic regime is a function that takes treatment and covariate history and baseline covariates as inputs and returns a decision to be made. Murphy (2003, Journal of the Royal Statistical Society, Series B 65, 331-366) and Robins (2004, Proceedings of the Second Seattle Symposium on Biostatistics. 189326) have proposed models and developed serniparametric methods for making inference about the optimal regime in a multi-interval trial that provide clear advantages over traditional parametric approaches. We show that Murphy's model is a special case of Robins's and that the methods are closely related but not equivalent. Interesting features of the methods are highlighted using the Multicenter AIDS Cohort Study and through simulation.
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