Item response models for the longitudinal analysis of health-related quality of life in cancer clinical trials

Item response models for the longitudinal analysis of health-related quality of life in cancer clinical trials

Abstract Background The use of health-related quality of life (HRQoL) as an endpoint in cancer clinical trials is growing rapidly. Hence, research into the statistical approaches used to analyze HRQoL data is of major importance, and could lead to a better understanding of the impact of treatments o...

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Bibliographic Details
Main Authors: Antoine Barbieri, Jean Peyhardi, Thierry Conroy, Sophie Gourgou, Christian Lavergne, Caroline Mollevi
Format: Article
Language:English
Published: BMC 2017-09-01
Series:BMC Medical Research Methodology
Subjects:
Health-related quality of life
Item response theory
Mixed models
Ordinal data
Longitudinal analysis
Online Access:http://link.springer.com/article/10.1186/s12874-017-0410-9

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http://link.springer.com/article/10.1186/s12874-017-0410-9

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