Reference : On the joint analysis of longitudinal responses and early discontinuation in randomiz...
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Mathematics
http://hdl.handle.net/2268/24514
On the joint analysis of longitudinal responses and early discontinuation in randomized trials
English
Vandenhende, François [ > > ]
Lambert, Philippe mailto [Université de Liège - ULg > Institut des sciences humaines et sociales > Méthodes quantitatives en sciences sociales >]
2002
Journal of Biopharmaceutical Statistics
Taylor & Francis
12
425-440
Yes (verified by ORBi)
International
1054-3406
1520-5711
Philadelphia
PA
[en] Copula ; Drop-out ; Repeated measures
[en] Our focus is on the joint analysis of longitudinal nonnormal responses and early discontinuation in (pre)-clinical trials. Separate models are fitted to the two series (response and discontinuation) to account for covariate and time effects. The serial dependence and the dependence between response and drop-out are also modeled. This is done using particular dependence functions, called copulas. Copulas are used to create a joint distribution with given marginal distributions. Applications are given for the analysis of heart rate/morbidity in toxicology and pain severity/intake of rescue medications in a trial on migraine. Using copulas, the level of dependence between two variables remains invariant to changes in the marginal distribution of either variable. This proves interesting in modeling the association in a longitudinal setting when responses change over time.
http://hdl.handle.net/2268/24514
10.1081/BIP-120016228
http://www.informaworld.com/smpp/content~db=all~content=a713616903

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