Dynamic treatment regimes: technical challenges and applications.
Dynamic treatment regimes: technical challenges and applications.
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DOI:
10.1214/14-ejs920
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发表时间:
2014
影响因子:
1.1
通讯作者:
Murphy SA
中科院分区:
文献类型:
--
作者:
Laber EB;Lizotte DJ;Qian M;Pelham WE;Murphy SA
Dynamic treatment regimes are of growing interest across the clinical sciences because these regimes provide one way to operationalize and thus inform sequential personalized clinical decision making. Formally, a dynamic treatment regime is a sequence of decision rules, one per stage of clinical intervention. Each decision rule maps up-to-date patient information to a recommended treatment. We briefly review a variety of approaches for using data to construct the decision rules. We then review a critical inferential challenge that results from nonregularity, which often arises in this area. In particular, nonregularity arises in inference for parameters in the optimal dynamic treatment regime; the asymptotic, limiting, distribution of estimators are sensitive to local perturbations. We propose and evaluate a locally consistent Adaptive Confidence Interval (ACI) for the parameters of the optimal dynamic treatment regime. We use data from the Adaptive Pharmacological and Behavioral Treatments for Children with ADHD Trial as an illustrative example. We conclude by highlighting and discussing emerging theoretical problems in this area.
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DOI:
10.1146/annurev-statistics-022513-115553
发表时间:
2014
影响因子:
7.9
作者:
Chakraborty B;Murphy SA
通讯作者:
Murphy SA
影响因子:
4.5
作者:
BICKEL, PJ
通讯作者:
BICKEL, PJ
影响因子:
1.7
作者:
Bickman, Leonard;Kelley, Susan Douglas;Athay, Michele
通讯作者:
Athay, Michele
影响因子:
4.5
作者:
CASELLA, G;STRAWDERMAN, WE
通讯作者:
STRAWDERMAN, WE
影响因子:
6.1
作者:
Andrews, DWK
通讯作者:
Andrews, DWK