Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/401
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Curran, Desmond | - |
dc.contributor.author | MOLENBERGHS, Geert | - |
dc.contributor.author | Aaronson, N. | - |
dc.contributor.author | Fossa, S. | - |
dc.contributor.author | SYLVESTER, Richard | - |
dc.date.accessioned | 2004-10-29T08:57:42Z | - |
dc.date.available | 2004-10-29T08:57:42Z | - |
dc.date.issued | 2002 | - |
dc.identifier.citation | Statistical Methods in Medical Research, 11(1). p. 5-23 | - |
dc.identifier.issn | 0962-2802 | - |
dc.identifier.uri | http://hdl.handle.net/1942/401 | - |
dc.description.abstract | Quality of Life (QL) is becoming an increasingly popular endpoint in phase III cancer clinical trials. However, there is still no agreement as to what is the optimal approach to analysis. In this paper we review some concepts which should be considered during a QL analysis. We present two modelling approaches that have been substantively developed in other research fields: selection models and pattern-mixture models. These models are compared using data from an EORTC clinical trial in poor-prognosis prostate cancer patients. It is illustrated that, although selection models and pattern mixture are probabilistically equivalent, they may shed completely different light on data from a modeller's point of view. | - |
dc.description.sponsorship | We gratefully acknowledge the EORTC Genito-Urinary Tract Group for providing us with the data and FWO-Vlaanderen Research Project ‘Sensitivity Analysis for Incomplete and Coarse Data’. | - |
dc.language.iso | en | - |
dc.publisher | ARNOLD | - |
dc.rights | (C) Arnold 2002 | - |
dc.subject | Missing data | - |
dc.subject | Clinical trials | - |
dc.subject | Longitudinal data | - |
dc.title | Analysing longitudinal continuous quality of life data with dropout | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 23 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 5 | - |
dc.identifier.volume | 11 | - |
local.bibliographicCitation.jcat | A1 | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.bibliographicCitation.oldjcat | A1 | - |
dc.identifier.doi | 10.1191/0962280202sm270ra | - |
dc.identifier.isi | 000174362000002 | - |
item.contributor | Curran, Desmond | - |
item.contributor | MOLENBERGHS, Geert | - |
item.contributor | Aaronson, N. | - |
item.contributor | Fossa, S. | - |
item.contributor | SYLVESTER, Richard | - |
item.fullcitation | Curran, Desmond; MOLENBERGHS, Geert; Aaronson, N.; Fossa, S. & SYLVESTER, Richard (2002) Analysing longitudinal continuous quality of life data with dropout. In: Statistical Methods in Medical Research, 11(1). p. 5-23. | - |
item.accessRights | Restricted Access | - |
item.fulltext | With Fulltext | - |
item.validation | ecoom 2003 | - |
crisitem.journal.issn | 0962-2802 | - |
crisitem.journal.eissn | 1477-0334 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
curran2002.pdf Restricted Access | Published version | 332.74 kB | Adobe PDF | View/Open Request a copy |
SCOPUSTM
Citations
15
checked on Sep 2, 2020
WEB OF SCIENCETM
Citations
11
checked on Apr 30, 2024
Page view(s)
72
checked on Sep 7, 2022
Download(s)
50
checked on Sep 7, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.