Journal
BIOMETRICS
Volume 63, Issue 2, Pages 447-455Publisher
WILEY-BLACKWELL
DOI: 10.1111/j.1541-0420.2006.00686.x
Keywords
optimal dynamic regimes; optimal structural nested mean models; randomized controlled trials; sequential randomization; treatment algorithms
Funding
- 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
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available