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Susan Murphy's home page

WEBWe work with researchers at d3Lab (ISR) and mDOT: mHealth Center for Discovery, Optimization & Translation of Temporally-Precise Interventions on these topics. Susan …

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URL: https://people.seas.harvard.edu/~samurphy/

Postdoctoral Fellow at Harvard in RL for Mobile Health!

WEBPostdoctoral Fellow at Harvard in RL for Mobile Health! Join us as a postdoctoral fellow in Professor Susan Murphy's Statistical Reinforcement Learning Group!

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Assessing Time-Varying Causal Interactions and Treatment …

WEBAssessing Time-Varying Causal Interactions and Treatment Effects with Applications to Mobile Health Susan Murphy 12.05.16 HeartSteps JITAI JITAIs JITAIs

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Just-in-Time Adaptive Interventions and Adaptive Interventions

WEBJust-in-time adaptive interventions (JITAIs) are a special type of adaptive intervention where, thanks to mobile technology like activity sensors and smartphones, an …

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people.seas.harvard.edu

WEBStatistics 234. Spring, 2024. This graduate course will focus on reinforcement learning algorithms and sequential decision-making methods with special attention to how these …

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Assessing Time-Varying Causal Effect

WEB37 Initial Conclusions • The data indicates that there is a causal effect of the activity suggestion on step count in the succeeding 30 minutes.

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Optimizing interventions 1

WEBMOST consists of the following three phases: (1) screening, in which randomized. experimentation closely guided by theory is used to asses an array of program and/or …

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Building Just-In-Time Adaptive Interventions in Mobile Health: …

WEBBuilding Just-In-Time Adaptive Interventions in Mobile Health: The Role of Micro-Randomized Trials. APS workshop May 29, 2016. Presenters: InbalNahum-Shani, …

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Building Just-In-Time Adaptive Interventions in Mobile Health: …

WEBMonitor craving level of craving every few minutes or so. Use this information to decide whether/how to intervene. Deliver the intervention as soon as high craving occurs. In the …

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Micro-Randomized Trials (MRTs)

WEBIn micro-randomized trials (MRTs), individuals are randomized hundreds or thousands of times over the course of the study. The goal of these trials is to optimize mobile health …

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Adaptive Treatment Strategies

WEBNoncompliance: is(1) falls below threshold for attendance in counseling sessions or status hearings, (2) fails to provide scheduled urine specimens, or (3) commits a new crime or …

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Extractors: Optimal up to Constant Factors

WEBThe de nition o ered by [5, 29], relies on min-entropy: A distribution X is a k-source if the probability it assigns to everyelementinits domainisatmost2 k.Themin-entropy

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MRT for Developing Mobile Health Interventions Walton 2018

WEBELEMENTS OF AN MRT The Micro-Randomized Trial for Developing Mobile Health Interventions Ashley Walton1, Linda Collins2, Lori Crosby3, PredragKlasnja4, …

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ELSIE M. SUNDERLAND

WEBELSIE M. SUNDERLAND. Department of Environmental Health 401 Park Drive, PO Box 15677 Landmark Center W., Rm. 412B, Boston MA 02215 Phone: +1-617-384-8832 …

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