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Estimating Optimal Treatment Regimes from a Classification Perspective.

Publication ,  Journal Article
Zhang, B; Tsiatis, AA; Davidian, M; Zhang, M; Laber, E
Published in: Stat
January 1, 2012

A treatment regime maps observed patient characteristics to a recommended treatment. Recent technological advances have increased the quality, accessibility, and volume of patient-level data; consequently, there is a growing need for powerful and flexible estimators of an optimal treatment regime that can be used with either observational or randomized clinical trial data. We propose a novel and general framework that transforms the problem of estimating an optimal treatment regime into a classification problem wherein the optimal classifier corresponds to the optimal treatment regime. We show that commonly employed parametric and semi-parametric regression estimators, as well as recently proposed robust estimators of an optimal treatment regime can be represented as special cases within our framework. Furthermore, our approach allows any classification procedure that can accommodate case weights to be used without modification to estimate an optimal treatment regime. This introduces a wealth of new and powerful learning algorithms for use in estimating treatment regimes. We illustrate our approach using data from a breast cancer clinical trial.

Duke Scholars

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Published In

Stat

DOI

ISSN

0038-9986

Publication Date

January 1, 2012

Volume

1

Issue

1

Start / End Page

103 / 114

Location

United States
 

Citation

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Zhang, B., Tsiatis, A. A., Davidian, M., Zhang, M., & Laber, E. (2012). Estimating Optimal Treatment Regimes from a Classification Perspective. Stat, 1(1), 103–114. https://doi.org/10.1002/sta.411
Zhang, Baqun, Anastasios A. Tsiatis, Marie Davidian, Min Zhang, and Eric Laber. “Estimating Optimal Treatment Regimes from a Classification Perspective.Stat 1, no. 1 (January 1, 2012): 103–14. https://doi.org/10.1002/sta.411.
Zhang B, Tsiatis AA, Davidian M, Zhang M, Laber E. Estimating Optimal Treatment Regimes from a Classification Perspective. Stat. 2012 Jan 1;1(1):103–14.
Zhang, Baqun, et al. “Estimating Optimal Treatment Regimes from a Classification Perspective.Stat, vol. 1, no. 1, Jan. 2012, pp. 103–14. Pubmed, doi:10.1002/sta.411.
Zhang B, Tsiatis AA, Davidian M, Zhang M, Laber E. Estimating Optimal Treatment Regimes from a Classification Perspective. Stat. 2012 Jan 1;1(1):103–114.

Published In

Stat

DOI

ISSN

0038-9986

Publication Date

January 1, 2012

Volume

1

Issue

1

Start / End Page

103 / 114

Location

United States