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06/19/2023
Effect-Invariant Mechanisms for Policy Generalization
Policy learning is an important component of many real-world learning sy...
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05/17/2023
Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-In-Time Adaptive Interventions
Just-in-Time Adaptive Interventions (JITAIs) are a class of personalized...
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04/11/2023
Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling
There is a growing interest in using reinforcement learning (RL) to pers...
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11/25/2022
Doubly robust nearest neighbors in factor models
In this technical note, we introduce an improved variant of nearest neig...
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07/08/2021
The Micro-Randomized Trial for Developing Digital Interventions: Experimental Design and Data Analysis Considerations
Just-in-time adaptive interventions (JITAIs) are time-varying adaptive i...
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07/31/2020
IntelligentPooling: Practical Thompson Sampling for mHealth
In mobile health (mHealth) smart devices deliver behavioral treatments r...
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04/23/2020
The Micro-Randomized Trial for Developing Digital Interventions: Experimental Design Considerations
Just-in-time adaptive interventions (JITAIs) are time-varying adaptive i...
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04/21/2020
The Micro-Randomized Trial for Developing Digital Interventions: Data Analysis Methods
Although there is much excitement surrounding the use of mobile and wear...
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03/30/2020
Translating Behavioral Theory into Technological Interventions: Case Study of an mHealth App to Increase Self-reporting of Substance-Use Related Data
Mobile health (mHealth) applications are a powerful medium for providing...
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02/23/2020
Rapidly Personalizing Mobile Health Treatment Policies with Limited Data
In mobile health (mHealth), reinforcement learning algorithms that adapt...
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12/30/2019
Off-Policy Estimation of Long-Term Average Outcomes with Applications to Mobile Health
With the recent advancements in wearables and sensing technology, health...
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09/08/2019
Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity
With the recent evolution of mobile health technologies, health scientis...
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06/03/2019
Estimating Time-Varying Causal Excursion Effect in Mobile Health with Binary Outcomes
Advances in wearables and digital technology now make it possible to del...
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02/28/2019
Linear mixed models under endogeneity: modeling sequential treatment effects with application to a mobile health study
Mobile health is a rapidly developing field in which behavioral treatmen...
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12/27/2018
Practical Considerations for Data Collection and Management in Mobile Health Micro-randomized Trials
There is a growing interest in leveraging the prevalence of mobile techn...
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12/02/2018
Personalizing Intervention Probabilities By Pooling
In many mobile health interventions, treatments should only be delivered...
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11/09/2017
