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
Murphy SA
中科院分区:
数学3区
文献类型:
--
作者:
Laber EB;Lizotte DJ;Qian M;Pelham WE;Murphy SA

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动态治疗方案在整个临床科学领域引起了越来越多的兴趣,因为这些方案提供了一种可操作的方法,从而为连续的个性化临床决策提供信息。从形式上来说,动态治疗方案是一系列决策规则,临床干预的每个阶段都有一个决策规则。每个决策规则将最新的患者信息映射到推荐的治疗。我们简要回顾了使用数据构建决策规则的各种方法。然后,我们回顾了该领域经常出现的由不规则性引起的关键推理挑战。特别是,在最佳动态治疗方案中参数的推断中会出现不规则性;估计量的渐近、限制分布对局部扰动敏感。我们为最佳动态治疗方案的参数提出并评估局部一致的自适应置信区间(ACI)。我们使用针对多动症儿童的适应性药理学和行为治疗试验的数据作为说明性示例。最后,我们强调并讨论了该领域新出现的理论问题。
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.
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
DOI: 10.1214/aos/1176345646
发表时间: 1981-01-01
影响因子: 4.5
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通讯作者: BICKEL, PJ
DOI: 10.1037/a0031022
发表时间: 2012-12-01
影响因子: 1.7
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发表时间: 1981-01-01
影响因子: 4.5
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DOI: 10.1111/1468-0262.00210
发表时间: 2001-05-01
期刊: ECONOMETRICA
影响因子: 6.1
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通讯作者: Andrews, DWK