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http://hdl.handle.net/1942/394
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DC Field | Value | Language |
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dc.contributor.author | VAN STEEN, Kristel | - |
dc.contributor.author | Curran, Desmond | - |
dc.contributor.author | MOLENBERGHS, Geert | - |
dc.date.accessioned | 2004-10-26T07:27:42Z | - |
dc.date.available | 2004-10-26T07:27:42Z | - |
dc.date.issued | 2001 | - |
dc.identifier.citation | Statistics in Medicine, 20(24). p. 3901-3920 | - |
dc.identifier.issn | 0277-6715 | - |
dc.identifier.uri | http://hdl.handle.net/1942/394 | - |
dc.description.abstract | Analysing quality of life data (QOL) may be complicated for several reasons. Quality of life data not only involves repeated measures but is also usually collected on ordered categorical responses. In addition, it is evident that not all patients provide the same number of assessments, due to attrition caused by death or other medical reasons. In the recent statistical literature, increasing attention is given to methods which can handle non-continuous outcomes in the presence of missing data. The aim of this paper is to investigate the effect on statistical conclusions of applying different modelling techniques to QOL data generated from an EORTC phase III trial. Treatment effects and treatment differences are of major concern. First, a random-effects model is fitted, relating a binary longitudinal response (derived from the physical functioning scale of the QLQ-C30) to several covariates. In a second approach, marginal models are fitted, retaining the response variable and the mean structure used before. The fitted marginal models only differ with respect to the considered estimation procedure: generalized estimating equations (GEE); weighted generalized estimating equations (WGEE), and maximum likelihood (ML). | - |
dc.description.sponsorship | We gratefully acknowledge the EORTC Genito-Urinary Tract Group for providing us with the data and the FWO-Vlaanderen Research Project ‘Sensitivity analysis for incomplete and coarse data’. | - |
dc.language.iso | en | - |
dc.rights | Copyright (C) 2001 John Wiley & Sons, Ltd. | - |
dc.subject | Missing data | - |
dc.subject | Longitudinal data | - |
dc.subject | Categorical data | - |
dc.title | Sensitivity analysis of longitudinal binary quality of life data with dropout: An example using the EORTC QLQ-C30 | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 3920 | - |
dc.identifier.issue | 24 | - |
dc.identifier.spage | 3901 | - |
dc.identifier.volume | 20 | - |
local.bibliographicCitation.jcat | A1 | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.bibliographicCitation.oldjcat | A1 | - |
dc.identifier.doi | 10.1002/sim.1081 | - |
dc.identifier.isi | 000173013900020 | - |
item.accessRights | Restricted Access | - |
item.contributor | VAN STEEN, Kristel | - |
item.contributor | Curran, Desmond | - |
item.contributor | MOLENBERGHS, Geert | - |
item.fullcitation | VAN STEEN, Kristel; Curran, Desmond & MOLENBERGHS, Geert (2001) Sensitivity analysis of longitudinal binary quality of life data with dropout: An example using the EORTC QLQ-C30. In: Statistics in Medicine, 20(24). p. 3901-3920. | - |
item.validation | ecoom 2003 | - |
item.fulltext | With Fulltext | - |
crisitem.journal.issn | 0277-6715 | - |
crisitem.journal.eissn | 1097-0258 | - |
Appears in Collections: | Research publications |
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10.1002@sim.1081.pdf Restricted Access | Published version | 140.18 kB | Adobe PDF | View/Open Request a copy |
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