An extension of joint longitudinal-survival models enables Bayesian estimation of time-varying effects from repeatedly delivered treatments in micro-randomized trials for mobile health data.
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Estimation of Time-Varying Treatment Effects in a Joint Model for Longitudinal and Recurrent Event Outcomes in Mobile Health Data
An extension of joint longitudinal-survival models enables Bayesian estimation of time-varying effects from repeatedly delivered treatments in micro-randomized trials for mobile health data.