Longitudinal analysis of health-related quality of life in cancer clinical trials: methods and interpretation of results.
Fiche publication
Date publication
août 2020
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 :
Bascoul-Mollevi C, Barbieri A, Bourgier C, Conroy T, Chauffert B, Hebbar M, Jacot W, Juzyna B, De Forges H, Gourgou S, Bonnetain F, Touraine C, Anota A
Lien Pubmed
Résumé
Health-related quality of life (HRQoL) is assessed by self-administered questionnaires throughout the care process. Classically, two longitudinal statistical approaches were mainly used to study HRQoL: linear mixed models (LMM) or time-to-event models for time to deterioration/time until definitive deterioration (TTD/TUDD). Recently, an alternative strategy based on generalized linear mixed models for categorical data has also been proposed: the longitudinal partial credit model (LPCM). The objective of this article is to evaluate these methods and to propose recommendations to standardize longitudinal analysis of HRQoL data in cancer clinical trials.
Mots clés
Cancer, Clinical trial, Generalized linear mixed model, Health-related quality of life, Longitudinal analysis, Time to deterioration
Référence
Qual Life Res. 2020 Aug 18;: