Joint Modeling of Longitudinal Markers and Time-to-Event Outcomes: An Application and Tutorial in Patients After Surgical Repair of Transposition of the Great Arteries.

Sara J Baart Roel L F van der Palen Hein Putter Roula Tsonaka Nico A BlomDimitris RizopoulosAnna A van Geloven

Published in: Circulation. Cardiovascular quality and outcomes (2021)

The joint model for longitudinal and time-to-event data is an attractive method to analyze data in follow-up studies with repeated measurements. Benefits of the method include using the estimated natural trajectory of the longitudinal outcome, great flexibility through multiple extensions, and dynamic individualized predictions.

Keyphrases

end stage renal disease
electronic health record
cross sectional
chronic kidney disease
ejection fraction
newly diagnosed
big data
prognostic factors
peritoneal dialysis
patient reported outcomes
adipose tissue
deep learning