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	C-learning: A new classification framework to estimate optimal dynamic treatment regimes
	Zhang Baqun[1]; Zhang Min[2]
刊名	Biometrics
	2018
卷号	74页码:891-899
关键词	A-learning Augmented inverse probability weighted estimator CART Dynamic treatment regime Precision medicine Q-learning
ISSN号	1541-0420
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2181413
专题	上海大学
作者单位	School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, P.R. China.
推荐引用方式 GB/T 7714	Zhang Baqun[1],Zhang Min[2]. C-learning: A new classification framework to estimate optimal dynamic treatment regimes[J]. Biometrics,2018,74:891-899.
APA	Zhang Baqun[1],&Zhang Min[2].(2018).C-learning: A new classification framework to estimate optimal dynamic treatment regimes.Biometrics,74,891-899.
MLA	Zhang Baqun[1],et al."C-learning: A new classification framework to estimate optimal dynamic treatment regimes".Biometrics 74(2018):891-899.

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