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J. Hamel, J. Hardouin, T. Néel, G. Kubis, Y. Roquelaure, V. Sébille (2012)
Biases and Power for Groups Comparison on Subjective Health MeasurementsPLoS ONE, 7
Diane Fairclough, Harriet Peterson, Victor Chang (1998)
Why are missing quality of life data a problem in clinical trials of cancer therapy?Statistics in medicine, 17 5-7
Xiaohui Zheng, S. Rabe-Hesketh (2007)
Estimating Parameters of Dichotomous and Ordinal Item Response Models with GllammThe Stata Journal, 7
M. Tenenhaus (1999)
Analyse de la variance à effets mixtes, utilisation de la proc MIXED : mais que reste-t-il à la proc GLM ?Monde des Util. Anal. Données, 23
P. Holland, Machteld Hoskens (2003)
Classical Test Theory as a first-order Item Response Theory: Application to true-score prediction from a possibly nonparallel testPsychometrika, 68
R. Little (1995)
Modeling the Drop-Out Mechanism in Repeated-Measures StudiesJournal of the American Statistical Association, 90
Jürg Bernhard, David Cella, Alan Coates, L. Fallowfield, Patricia Ganz, C. Moinpour, Paola Mosconi, David Osoba, John Simes, C. Hürny (1998)
Missing quality of life data in cancer clinical trials: serious problems and challenges.Statistics in medicine, 17 5-7
R. Holman, C. Glas (2005)
Modelling non-ignorable missing-data mechanisms with item response theory models.The British journal of mathematical and statistical psychology, 58 Pt 1
(2001)
Mesurer la subjectivité en santé: Perspective méthodologique et statistique
A. Burton, D. Altman, P. Royston, R. Holder (2006)
The design of simulation studies in medical statisticsStatistics in Medicine, 25
H Peyre, A Leplège, J Coste (2011)
Missing data methods for dealing with missing items in quality of life questionnaires. A comparison by simulation of personal mean score, full information maximum likelihood, multiple imputation, and hot deck techniques applied to the SF-36 in the French 2003 decennial health surveyQuality of Life Research, 20
G. Fischer, I. Molenaar (1995)
Rasch models: foundations, recent developments and applications
R. Little, D. Rubin (2002)
Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data
J. Schafer, J. Graham (2002)
Missing data: our view of the state of the art.Psychological methods, 7 2
É. Bock, J. Hardouin, M. Blanchin, T. Néel, G. Kubis, A. Bonnaud-Antignac, E. Dantan, V. Sébille (2016)
Rasch-family models are more valuable than score-based approaches for analysing longitudinal patient-reported outcomes with missing dataStatistical Methods in Medical Research, 25
J. Bjorner, M. Petersen, M. Groenvold, N. Aaronson, M. Ahlner‐Elmqvist, J. Arraras, A. Brédart, P. Fayers, M. Jordhøy, M. Sprangers, M. Watson, T. Young (2004)
Use of item response theory to develop a shortened version of the EORTC QLQ-C30 emotional functioning scaleQuality of Life Research, 13
T. Meiser (2007)
Rasch Models for Longitudinal Data
E. Klatt, Vinay Kumar (2010)
Head and Neck
AP Dempster, DB Rubin (1983)
Overview, in incomplete data in sample surveys, Vol. II: Theory and annotated bibliography
(2015)
Theory and annotated bibliography
D. Kissane, S. Patel, R. Baser, Rachel Bell, M. Farberov, J. Ostroff, Yuelin Li, Bhuvanesh Singh, D. Kraus, J. Shah (2013)
Preliminary evaluation of the reliability and validity of the Shame and Stigma Scale in head and neck cancerHead & Neck, 35
D. Cella, J. Beaumont, K. Webster, J. Lai, L. Elting (2006)
Measuring the concerns of cancer patients with low platelet counts: the Functional Assessment of Cancer Therapy–Thrombocytopenia (FACT-Th) questionnaireSupportive Care in Cancer, 14
M Tenenhaus (1999)
Statistique et logiciels: Analyse de la variance à effets mixtes utilisation de la proc MIXED: Mais que reste-t-il à la proc GLM ?La Revue de Modulad, 23
M. Blanchin, J. Hardouin, T. Néel, G. Kubis, C. Blanchard, E. Mirallié, V. Sébille (2011)
Comparison of CTT and Rasch‐based approaches for the analysis of longitudinal Patient Reported OutcomesStatistics in Medicine, 30
S. Garcia, D. Cella, S. Clauser, K. Flynn, T. Lad, J. Lai, B. Reeve, Ashley Smith, A. Stone, K. Weinfurt (2007)
Standardizing patient-reported outcomes assessment in cancer clinical trials: a patient-reported outcomes measurement information system initiative.Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 25 32
C. Glas, H. Geerlings, M. Laar, E. Taal (2009)
Analysis of longitudinal randomized clinical trials using item response models.Contemporary clinical trials, 30 2
Martin Gibson, R. Little, D. Rubin (1989)
Statistical Analysis with Missing Data.The Statistician, 38
D. Curran, G. Molenberghs, P. Fayers, D. Machin (1998)
Incomplete quality of life data in randomized trials: missing forms.Statistics in medicine, 17 5-7
M. Blanchin, J. Hardouin, T. Néel, G. Kubis, V. Sébille (2011)
Analysis of longitudinal Patient-Reported Outcomes with informative and non-informative dropout: Comparison of CTT and Rasch-based methodsInternational journal of applied mathematics and statistics, 24
P. Fayers, D. Curran, D. Machin (1998)
Incomplete quality of life data in randomized trials: missing items.Statistics in medicine, 17 5-7
P. Fayers, D. Machin (2007)
Quality of Life: The assessment, analysis and interpretation of patient-reported outcomes
D. Curran, M. Bacchi, S. Schmitz, G. Molenberghs, R. Sylvester (1998)
Identifying the types of missingness in quality of life data from clinical trials.Statistics in medicine, 17 5-7
In conclusion, LRM should be favored when the rate of missing data is higher than 15 %. For other cases, SM and LRM provide similar results.
Quality of Life Research – Springer Journals
Published: Feb 23, 2014
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