ESTIMATING OPTIMAL DYNAMIC TREATMENT REGIMES WITH SHARED DECISION RULES

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：echo1210

【摘要】

：

【作者】

：

Bibhas Chakraborty Palash Ghosh Erica EM Moodie A John Rush

【机构】

：

Centre for Quantitative Medicine,Duke-National University of Singapore(Duke-NUS)MedicalSchool,Singap

【出处】

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上海交通大学

【发表日期】

：

2016年4期

【关键词】

：

dynamic treatment regimes Q-learning shared parameters STAR*D

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　　A dynamic treatment regime consists of decision rules that recommend how to individualize treatment to patients based on available treatment and covariate history.In many scientific domains,these decision rules are shared across stages of intervention.Estimating these shared decision rules often amounts to estimating parameters indexing the decision rules that are shared across stages.

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ESTIMATING OPTIMAL DYNAMIC TREATMENT REGIMES WITH SHARED DECISION RULES

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