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Erschienen in: Lifetime Data Analysis 4/2017

23.06.2016

Association measures for bivariate failure times in the presence of a cure fraction

verfasst von: Lajmi Lakhal-Chaieb, Thierry Duchesne

Erschienen in: Lifetime Data Analysis | Ausgabe 4/2017

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Abstract

This paper proposes a new joint model for pairs of failure times in the presence of a cure fraction. The proposed model relaxes some of the assumptions required by the existing approaches. This allows us to add some flexibility to the dependence structure and to widen the range of association measures that can be defined. A numerically stable iterative algorithm based on estimating equations is proposed to estimate the parameters. The estimators are shown to be consistent and asymptotically normal. Simulations show that they have good finite-sample properties. The added flexibility of the proposal is illustrated with an application to data from a diabetes retinopathy study.

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Metadaten
Titel
Association measures for bivariate failure times in the presence of a cure fraction
verfasst von
Lajmi Lakhal-Chaieb
Thierry Duchesne
Publikationsdatum
23.06.2016
Verlag
Springer US
Erschienen in
Lifetime Data Analysis / Ausgabe 4/2017
Print ISSN: 1380-7870
Elektronische ISSN: 1572-9249
DOI
https://doi.org/10.1007/s10985-016-9371-2

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