B1072
Title: Recent developments on joint modelling for longitudinal and survival data: Applications to biomedicine
Authors: Francisco Gude - Complexo Hospitalario Universitario de Santiago de Compostela (Spain) [presenting]
Ipek Guler - KU Leuven (Belgium)
Christel Faes - Hasselt University (Belgium)
Carmen Cadarso Suarez - Universidad de Santiago de Compostela (Spain)
Abstract: In many biomedical studies, patients are followed-up repeatedly and several outcomes are recorded in each visit. Clinicians are usually interested in the study of time-to-event with longitudinal biomarkers. Several regression techniques are introduced in the literature to study the association between a longitudinal biomarker and a time-to-event process. Joint modelling approaches are gaining an increasing attention due to their efficiency, reduction in bias and rapidly-expanding literature with software. There is an increasing number of extensions as a result of clinical questions on joint modelling approaches. The aim is to give an overview of recent extensions such as dynamic predictions, multivariate longitudinal case and different association structures. Those extensions will be illustrated with several clinical applications.
