Flexible modeling of longitudinal health-related quality of life data accounting for informative dropout in a cancer clinical trial.
Fiche publication
Date publication
septembre 2022
Journal
Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation
Auteurs
Membres identifiés du Cancéropôle Est :
Pr CONROY Thierry
Tous les auteurs :
Winter A, Cuer B, Conroy T, Juzyna B, Gourgou S, Mollevi C, Touraine C
Lien Pubmed
Résumé
A joint modeling approach is recommended for analysis of longitudinal health-related quality of life (HRQoL) data in the presence of potentially informative dropouts. However, the linear mixed model modeling the longitudinal HRQoL outcome in a joint model often assumes a linear trajectory over time, an oversimplification that can lead to incorrect results. Our aim was to demonstrate that a more flexible model gives more reliable and complete results without complicating their interpretation.
Mots clés
Cancer, Clinical trials, Health-related quality of life, Joint model, Linear mixed model, Spline
Référence
Qual Life Res. 2022 09 17;: