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Dynamic regime marginal structural mean models for estimation of optimal dynamic treatment regimes, Part I: main content

Orellana,L, Rotnitzky,A and Robins,JM 2010, Dynamic regime marginal structural mean models for estimation of optimal dynamic treatment regimes, Part I: main content, International journal of biostatistics, vol. 6, no. 2, pp. 1-48, doi: 10.2202/1557-4679.1200.

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Title Dynamic regime marginal structural mean models for estimation of optimal dynamic treatment regimes, Part I: main content
Author(s) Orellana,LORCID iD for Orellana,L orcid.org/0000-0003-3736-4337
Rotnitzky,A
Robins,JM
Journal name International journal of biostatistics
Volume number 6
Issue number 2
Start page 1
End page 48
Total pages 48
Publisher Berkeley Electronic Press
Place of publication Berkeley, Calif.
Publication date 2010-03
ISSN 1557-4679
Keyword(s) Causality
Double-robust
Dynamic treatment regime
Inverse probability weighted
Marginal structural model
Optimal treatment regime
Summary Dynamic treatment regimes are set rules for sequential decision making based on patient covariate history. Observational studies are well suited for the investigation of the effects of dynamic treatment regimes because of the variability in treatment decisions found in them. This variability exists because different physicians make different decisions in the face of similar patient histories. In this article we describe an approach to estimate the optimal dynamic treatment regime among a set of enforceable regimes. This set is comprised by regimes defined by simple rules based on a subset of past information. The regimes in the set are indexed by a Euclidean vector. The optimal regime is the one that maximizes the expected counterfactual utility over all regimes in the set. We discuss assumptions under which it is possible to identify the optimal regime from observational longitudinal data. Murphy et al. (2001) developed efficient augmented inverse probability weighted estimators of the expected utility of one fixed regime. Our methods are based on an extension of the marginal structural mean model of Robins (1998, 1999) which incorporate the estimation ideas of Murphy et al. (2001). Our models, which we call dynamic regime marginal structural mean models, are specially suitable for estimating the optimal treatment regime in a moderately small class of enforceable regimes of interest. We consider both parametric and semiparametric dynamic regime marginal structural models. We discuss locally efficient, double-robust estimation of the model parameters and of the index of the optimal treatment regime in the set. In a companion paper in this issue of the journal we provide proofs of the main results.
Language eng
DOI 10.2202/1557-4679.1200
Field of Research 119999 Medical and Health Sciences not elsewhere classified
Socio Economic Objective 929999 Health not elsewhere classified
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2010, Walter de Gruyter
Persistent URL http://hdl.handle.net/10536/DRO/DU:30069855

Document type: Journal Article
Collections: Faculty of Health
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.