research
∙
08/15/2023
Dyadic Reinforcement Learning
Mobile health aims to enhance health outcomes by delivering intervention...
share
research
∙
07/28/2023
A Continuous-Time Dynamic Factor Model for Intensive Longitudinal Data Arising from Mobile Health Studies
Intensive longitudinal data (ILD) collected in mobile health (mHealth) s...
research
∙
02/17/2023
Design of Experiments with Sequential Randomizations on Multiple Timescales: The Hybrid Experimental Design
Psychological interventions, especially those leveraging mobile and wire...
research
∙
08/15/2022
Reward Design For An Online Reinforcement Learning Algorithm Supporting Oral Self-Care
Dental disease is one of the most common chronic diseases despite being ...
research
∙
06/08/2022
Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-implementation Guidelines
Online reinforcement learning (RL) algorithms are increasingly used to p...
research
∙
11/01/2021
Transformers for prompt-level EMA non-response prediction
Ecological Momentary Assessments (EMAs) are an important psychological d...
research
∙
10/11/2021
SMART Binary: Sample Size Calculation for Comparing Adaptive Interventions in SMART studies with Longitudinal Binary Outcomes
Sequential Multiple-Assignment Randomized Trials (SMARTs) play an increa...
research
∙
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...
research
∙
03/31/2021
Planning SMARTs: Sample size estimation for comparing dynamic treatment regimens using longitudinal count outcomes with excess zeros
In many health domains such as substance-use, outcomes are often counts ...
research
∙
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...
research
∙
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...
research
∙
03/02/2020
A Functional EM Algorithm for Panel Count Data with Missing Counts
Panel count data is recurrent events data where counts of events are obs...
research
∙
10/22/2019
Linear Mixed Models for Comparing Dynamic Treatment Regimens on a Longitudinal Outcome in Sequentially Randomized Trials
A dynamic treatment regimen (DTR) is a pre-specified sequence of decisio...
research
∙
10/31/2018
Sample size considerations for comparing dynamic treatment regimens in a sequential multiple-assignment randomized trial with a continuous longitudinal outcome
Clinicians and researchers alike are increasingly interested in how best...
research
∙
03/17/2018
