Handling informative dropout in longitudinal analysis of health-related quality of life: application of three approaches to data from the esophageal cancer clinical trial PRODIGE 5/ACCORD 17.
Fiche publication
Date publication
septembre 2020
Journal
BMC medical research methodology
Auteurs
Membres identifiés du Cancéropôle Est :
Pr CONROY Thierry
Tous les auteurs :
Cuer B, Mollevi C, Anota A, Charton E, Juzyna B, Conroy T, Touraine C
Lien Pubmed
Résumé
Health-related quality of life (HRQoL) has become a major endpoint to assess the clinical benefit of new therapeutic strategies in oncology clinical trials. Typically, HRQoL outcomes are analyzed using linear mixed models (LMMs). However, longitudinal analysis of HRQoL in the presence of missing data remains complex and unstandardized. Our objective was to compare the modeling alternatives that account for informative dropout.
Mots clés
Cancer clinical trial, Health-related quality of life, Informative dropout, Joint modeling, Pattern-mixture model, Selection model, Shared-parameters model
Référence
BMC Med Res Methodol. 2020 Sep 3;20(1):223