Reference : Smooth estimation of survival functions and hazard ratios from interval-censored data us...
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Mathematics
http://hdl.handle.net/2268/69424
Smooth estimation of survival functions and hazard ratios from interval-censored data using Bayesian penalized B-splines
English
Cetinyürek, Aysun mailto [Université de Liège - ULg > Institut des sciences humaines et sociales > Méthodes quantitatives en sciences sociales >]
Lambert, Philippe mailto [Université de Liège - ULg > Institut des sciences humaines et sociales > Méthodes quantitatives en sciences sociales >]
15-Jan-2011
Statistics in Medicine
30
1
75-90
Yes (verified by ORBi)
International
0277-6715
[en] bayesian ; P-spline ; Cox proportional hazards
[en] We discuss the use of Bayesian P-spline and of the composite link model to estimate survival functions and hazard-ratios from interval-censored data. If one further assumes proportionality of the hazards, the proposed strategy provides a smoothed estimate of the baseline hazard along with estimates of global covariate effects. The frequentist properties of our Bayesian estimators are assessed by an extensive simulation study. We further illustrate the methodology by two examples showing that the proportionality of the hazards might also be found inappropriate from interval-censored data.
http://hdl.handle.net/2268/69424

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