Modeling Recurrent Events: A Tutorial Based on Relapse and Remitting Episodes during Medication-Assisted Treatment for Opioid Use Disorder.

ABSTRACT: In health or medical studies, participants can often experience the outcome(s) of interest multiple times during the observation period, creating recurrent event data. Depending on the primary research objective, advanced statistical methods are required to correctly analyze this special type of data. This tutorial discusses 4 general frameworks, appropriate for analyzing recurrent events data: 1) extended Cox, 2) parametric survival, 3) longitudinal, and 4) multistate models. We present in detail the implementation of these methods, including a description of the required dataset structure, R code, and interpretation of results, using data from the CTN-0051 study, a randomized clinical trial comparing the effectiveness of opioid use disorder treatments. The objectives of 3 use case scenar

SUBMITTER: Chrysanthopoulou SA 

PROVIDER: S-EPMC12707579 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature