Demystifying Optimal Dynamic Treatment Regimes
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 B65, 331-366) and Robins (2004, Proceedings of the Second Seattle Symposium on Biostatistics,...
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Published in | Biometrics Vol. 63; no. 2; pp. 447 - 455 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Malden, USA
Blackwell Publishing Inc
01.06.2007
International Biometric Society Blackwell Publishing Ltd |
Subjects | |
Online Access | Get full text |
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Summary: | 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 B65, 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. |
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Bibliography: | http://dx.doi.org/10.1111/j.1541-0420.2006.00686.x ArticleID:BIOM686 ark:/67375/WNG-49PRQ70K-H istex:A1A2E2ADB67E617D8644E12CCB1AA606FB2B5FEE ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0006-341X 1541-0420 |
DOI: | 10.1111/j.1541-0420.2006.00686.x |