Susan A. Murphy
Distinguished Professor Emerita
Radcliffe Institute for Advanced Study
Harvard University;Department of Statistics and of Computer Science, Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University;Department of Statistics, College of Literature, Science, and the Arts, University of Michigan
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基本信息
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个人简介
The Statistical Reinforcement Learning Lab's work concerns the development of data analytic algorithms and methods for informing sequential decision making in health. In particular for (1) constructing individualized sequences of treatments (a.k.a., adaptive interventions) for use in informing clinical decision making and (2) constructing real time individualized sequences of treatments (a.k.a., Just-in-Time Adaptive Interventions) delivered by mobile devices. We are engaged in a number of clinical trials that use our real-time algorithms to learn and optimize the delivery of digital interventions. For her work on trial designs and analytics, Dr. Murphy was awarded a McArthur Fellowship in 2013, in 2014 she was elected a member of the National Academy of Medicine and in 2016 she was elected a member of the National Academy of Sciences of the US National Academies.
研究兴趣
论文共 316 篇作者统计合作学者相似作者
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Susobhan Ghosh, Yongyi Guo, Pei-Yao Hung, Lara Coughlin, Erin Bonar,Inbal Nahum-Shani, Maureen Walton,Susan Murphy
arxiv(2024)
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Annual review of clinical psychologyno. 1 (2024): 21-47
CoRR (2024)
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CONTEMPORARY CLINICAL TRIALS (2024)
CoRR (2024)
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arxiv(2024)
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arXiv (Cornell University) (2024)
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#Papers: 314
#Citation: 17230
H-Index: 53
G-Index: 127
Sociability: 7
Diversity: 0
Activity: 2
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