Reference : Statistical models for the analysis of controlled trials on acute migraine
Scientific journals : Article
Human health sciences : Neurology
Physical, chemical, mathematical & earth Sciences : Mathematics
Statistical models for the analysis of controlled trials on acute migraine
Vandenhende, François [> >]
Lambert, Philippe mailto [Université de Liège - ULg > Institut des sciences humaines et sociales > Méthodes quantitatives en sciences sociales >]
Pharmaceutical Statistics
Yes (verified by ORBi)
[en] Migraine ; ordinal data ; repeated measures ; generalized estimating equations ; multivariate probit ; copula
[en] pecific efficacy criteria were defined by the International Headache Society for controlled clinical trials on acute migraine. They are derived from the pain profile and the timing of rescue medication intake. We present a methodology to improve the analysis of such trials. Instead of analysing each endpoint separately, we model the joint distribution and derive success rates in any criteria as predictions. We use cumulative regression models for each response at a time and a multivariate normal copula to model the dependence between responses. Parameters are estimated using maximum likelihood. Benefits of the method include a reduction in the number of tests performed and an increase in their power. The method is well suited to dose-response trials from which predictions can be used to select doses and optimize the design of subsequent trials. More generally, our method permits a very flexible modelling of longitudinal series of ordinal data.

File(s) associated to this reference

Fulltext file(s):

Restricted access
VandenhendeLambert2003.pdfAuthor postprint201.8 kBRequest copy

Bookmark and Share SFX Query

All documents in ORBi are protected by a user license.