Regret-Regression for Optimal Dynamic Treatment Regimes

被引：73

作者：

Henderson, Robin ^{[1
]}

Ansell, Phil ^{[1
]}

Alshibani, Deyadeen ^{[1
]}

机构：

[1] Newcastle Univ, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England

来源：

BIOMETRICS | 2010年 / 66卷 / 04期

关键词：

Anticoagulation; Causal inference; Diagnostics; Dynamic treatment regimes; Path analysis; MARGINAL STRUCTURAL MODELS; CAUSAL INFERENCE; TIME; ANTICOAGULATION; EPIDEMIOLOGY; WARFARIN;

D O I：

10.1111/j.1541-0420.2009.01368.x

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

P>We consider optimal dynamic treatment regime determination in practice. Model building, checking, and comparison have had little or no attention so far in this literature. Motivated by an application on optimal dosage of anticoagulants, we propose a modeling and estimation strategy that incorporates the regret functions of <link rid="b12">Murphy (2003, Journal of the Royal Statistical Society, Series B 65, 331-366) into a regression model for observed responses. Estimation is quick and diagnostics are available, meaning a variety of candidate models can be compared. The method is illustrated using simulation and the anticoagulation application.

引用

页码：1192 / 1201

页数：10

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