Estimation Of The Survival Function Under Length-Biased Sampling For Competing Risks And Proportional Hazards

Authors

Jean Yves Dauxois, Centre de Recherche en Economie et StatistiqueFollow
Agathe Guilloux, Centre de Recherche en Economie et StatistiqueFollow
Syed N.U.A. Kirmani, University of Northern IowaFollow

Document Type

Article

Journal/Book/Conference Title

Comptes Rendus Mathematique

Volume

337

Issue

11

First Page

745

Last Page

748

Abstract

Consider a population of individuals who experience two causes of death. We observe the ones alive at time t0 and follow them until death. Given this length bias sample, we propose an estimator of the survival function of 'initial survival times' (i.e., for the entire population) under the assumption of proportional hazards for the two causes of death. The large sample behaviour of our estimator is also studied. © 2003 Académie des sciences. Publié par Elsevier SAS. Tous droits réservés.

Department

Department of Mathematics

Original Publication Date

12-1-2003

DOI of published version

10.1016/j.crma.2003.10.019

Recommended Citation

Dauxois, Jean Yves; Guilloux, Agathe; and Kirmani, Syed N.U.A., "Estimation Of The Survival Function Under Length-Biased Sampling For Competing Risks And Proportional Hazards" (2003). Faculty Publications. 3222.
https://scholarworks.uni.edu/facpub/3222