Demystifying optimal dynamic treatment regimes |
| |
Authors: | Moodie Erica E M Richardson Thomas S Stephens David A |
| |
Affiliation: | Department of Biostatistics, University of Washington, Seattle, Washington 98195, USA. erica.moodie@mcgill.ca |
| |
Abstract: | 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, 189-326) have proposed models and developed semiparametric 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. |
| |
Keywords: | Optimal dynamic regimes Optimal structural nested mean models Randomized controlled trials Sequential randomization Treatment algorithms |
本文献已被 PubMed 等数据库收录! |
|