Article (Scientific journals)
Estimation and identification issues in the promotion time cure model when the same covariates influence long- and short-term survival
Lambert, Philippe; Bremhorst, Vincent
2019In Biometrical Journal, 61 (2), p. 275-289
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Keywords :
Bayesian P-splines; Cure model; Identification issues; Insufficiently long follow-up; Survival analysis
Abstract :
[en] The promotion time cure model is a survival model acknowledging that an unidentified proportion of subjects will never experience the event of interest whatever the duration of the follow-up. We focus our interest on the challenges raised by the strong posterior correlation between some of the regression parameters when the same covariates influence long- and short-term survival. Then, the regression parameters of shared covariates are strongly correlated with, in addition, identification issues when the maximum follow-up duration is insufficiently long to identify the cured fraction. We investigate how, despite this, plausible values for these parameters can be obtained in a computationally efficient way. The theoretical properties of our strategy will be investigated by simulation and illustrated on clinical data. Practical recommendations will also be made for the analysis of survival data known to include an unidentified cured fraction. © 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
Disciplines :
Mathematics
Author, co-author :
Lambert, Philippe  ;  Université de Liège - ULiège > Faculté des sciences sociales > Méthodes quantitatives en sciences sociales
Bremhorst, Vincent;  Institut de statistique, biostatistique et sciences actuarielles (ISBA), Université catholique de Louvain, Louvain-la-Neuve, B-1348, Belgium
Language :
English
Title :
Estimation and identification issues in the promotion time cure model when the same covariates influence long- and short-term survival
Publication date :
2019
Journal title :
Biometrical Journal
ISSN :
0323-3847
eISSN :
1521-4036
Publisher :
Wiley-VCH Verlag
Volume :
61
Issue :
2
Pages :
275-289
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 06 November 2019

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