Skip to Main content Skip to Navigation
Journal articles

Joint frailty models for recurring events and death using maximum penalized likelihood estimation: application on cancer events.

Abstract : The observation of repeated events for subjects in cohort studies could be terminated by loss to follow-up, end of study, or a major failure event such as death. In this context, the major failure event could be correlated with recurrent events, and the usual assumption of noninformative censoring of the recurrent event process by death, required by most statistical analyses, can be violated. Recently, joint modeling for 2 survival processes has received considerable attention because it makes it possible to study the joint evolution over time of 2 processes and gives unbiased and efficient parameters. The most commonly used estimation procedure in the joint models for survival events is the expectation maximization algorithm. We show how maximum penalized likelihood estimation can be applied to nonparametric estimation of the continuous hazard functions in a general joint frailty model with right censoring and delayed entry. The simulation study demonstrates that this semiparametric approach yields satisfactory results in this complex setting. As an illustration, such an approach is applied to a prospective cohort with recurrent events of follicular lymphomas, jointly modeled with death.
Document type :
Journal articles
Complete list of metadatas

Cited literature [18 references]  Display  Hide  Download

https://www.hal.inserm.fr/inserm-00175907
Contributor : Evelyne Mouillet <>
Submitted on : Monday, October 1, 2007 - 4:32:21 PM
Last modification on : Sunday, October 25, 2020 - 7:07:03 AM
Long-term archiving on: : Friday, November 25, 2016 - 6:20:38 PM

File

 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : jamais

Please log in to resquest access to the document

Identifiers

Citation

Virginie Rondeau, Simone Mathoulin-Pelissier, Hélène Jacqmin-Gadda, Véronique Brouste, Pierre Soubeyran. Joint frailty models for recurring events and death using maximum penalized likelihood estimation: application on cancer events.. Biostatistics, Oxford University Press (OUP), 2007, 8 (4), pp.708-21. ⟨10.1093/biostatistics/kxl043⟩. ⟨inserm-00175907⟩

Share

Metrics

Record views

399