3 papers
stat.ME2026
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…
stat.ME2024
A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data
Madeline R. Abbott, Walter H. Dempsey, Inbal Nahum-Shani +4
The availability of mobile health (mHealth) technology has enabled increased collection of intensive longitudinal data (ILD). ILD have potential to capture rapid fluctuations in ou…
stat.ME2024
Data integration methods for micro-randomized trials
Easton Huch, Inbal Nahum-Shani, Lindsey Potter +3
Existing statistical methods for the analysis of micro-randomized trials (MRTs) are designed to estimate causal excursion effects using data from a single MRT. In practice, however…