TITLE

Analysing longitudinal continuous quality of life data with dropout

AUTHOR(S)
Curran, D; Molenberghs, G; Aaronson, NK; Fossa, SD; Sylvester, RJ; Aaronson, N K; Fossa, S D; Sylvester, R J
PUB. DATE
February 2002
SOURCE
Statistical Methods in Medical Research;Feb2002, Vol. 11 Issue 1, p5
SOURCE TYPE
Academic Journal
DOC. TYPE
journal article
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.
ACCESSION #
6663083

 

Related Articles

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics