Estimating the Cumulative incidence Functions under Length-biased Sampling
Jean-Yves Dauxois and
Agathe Guilloux
Additional contact information
Jean-Yves Dauxois: Crest
Agathe Guilloux: Crest
No 2004-01, Working Papers from Center for Research in Economics and Statistics
Abstract:
Consider a population of individuals who experience K different causes of death.We observe the ones alive at time t0 and follow them until death or possiblecensoring time. Given this length biased sample, we introduce estimators ofthe cumulative incidence functions of "initial survival times" (i.e. for the entirepopulation) in a competing risks setup. The large sample behavior of our estimatorsis studied and tests for equality of cumulative incidence functions aredeveloped.
Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://crest.science/RePEc/wpstorage/2004-01.pdf Crest working paper version (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:crs:wpaper:2004-01
Access Statistics for this paper
More papers in Working Papers from Center for Research in Economics and Statistics Contact information at EDIRC.
Bibliographic data for series maintained by Secretariat General () and Murielle Jules Maintainer-Email : murielle.jules@ensae.Fr.