13 papers
Estimation of Time-Varying Treatment Effects in a Joint Model for Longitudinal and Recurrent Event Outcomes in Mobile Health Data
Madeline R Abbott, Jeremy M G Taylor, Inbal Nahum-Shani +4
Not only does mobile health technology enable researchers to track changes in multiple longitudinal outcomes of interest and to record the occurrence of health-related events over…
Constructing Evidence-Based Tailoring Variables for Adaptive Interventions
John J. Dziak, Inbal Nahum-Shani
Background: Adaptive interventions provide a guide for using ongoing information about individuals to decide whether and how to modify the type, amount, delivery modality, or timin…
Evaluating time-varying treatment effects in hybrid SMART-MRT designs
Mengbing Li, Inbal Nahum-Shani, Walter Dempsey
Recently a new experimental approach, the hybrid experimental design (HED), was introduced to enable investigators to answer scientific questions about building behavioral interven…
"It felt more real": Investigating the User Experience of the MiWaves Personalizing JITAI Pilot Study
Susobhan Ghosh, Pei-Yao Hung, Lara N. Coughlin +6
Cannabis use among emerging adults is increasing globally, posing significant health risks and creating a need for effective interventions. We present an exploratory analysis of th…
Reinforcement Learning on Dyads to Enhance Medication Adherence
Ziping Xu, Hinal Jajal, Sung Won Choi +5
Medication adherence is critical for the recovery of adolescents and young adults (AYAs) who have undergone hematopoietic cell transplantation (HCT). However, maintaining adherence…
A Deployed Online Reinforcement Learning Algorithm In An Oral Health Clinical Trial
Anna L. Trella, Kelly W. Zhang, Hinal Jajal +4
Dental disease is a prevalent chronic condition associated with substantial financial burden, personal suffering, and increased risk of systemic diseases. Despite widespread recomm…