Smooth estimation of survival functions and hazard ratios from interval-censored data using Bayesian penalized B-splines

Cetinyürek, Aysun; Lambert, Philippe

doi:10.1002/sim.4081

Article (Scientific journals)

Smooth estimation of survival functions and hazard ratios from interval-censored data using Bayesian penalized B-splines

Cetinyürek, Aysun; Lambert, Philippe

2011 • In Statistics in Medicine, 30 (1), p. 75-90

Peer Reviewed verified by ORBi

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https://hdl.handle.net/2268/69424

DOI
10.1002/sim.4081

PubMed
20963752

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Keywords :

bayesian; P-spline; Cox proportional hazards

Abstract :

[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.

Disciplines :

Mathematics

Author, co-author :

Cetinyürek, Aysun ; Université de Liège - ULiège > Institut des sciences humaines et sociales > Méthodes quantitatives en sciences sociales

Lambert, Philippe ; Université de Liège - ULiège > Institut des sciences humaines et sociales > Méthodes quantitatives en sciences sociales

Language :

English

Title :

Smooth estimation of survival functions and hazard ratios from interval-censored data using Bayesian penalized B-splines

Publication date :

15 January 2011

Journal title :

Statistics in Medicine

ISSN :

0277-6715

eISSN :

1097-0258

Publisher :

John Wiley & Sons, Hoboken, United States - New Jersey

Volume :

Issue :

Pages :

75-90

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 17 August 2010

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4 (4 by ULiège)

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