Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation.

ABSTRACT: The use of smart devices (e.g., smartphones, smartwatches) and other wearables to deliver digital interventions to improve health outcomes has grown significantly in the past few years. Mobile health (mHealth) systems are excellent tools for the delivery of adaptive interventions that aim to provide the right type/amount of support, at the right time, by adapting to an individual's changing context. Micro-randomized trials (MRTs) are an increasingly common experimental design that are the main source for data-driven evidence of mHealth intervention effectiveness. To assess time-varying causal effect moderation in an MRT, individuals are intensively randomized to receive treatment over time. In addition, measurements, including individual characteristics, and context are also collected thro

SUBMITTER: Shi J 

PROVIDER: S-EPMC12807526 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature