Current status data with competing risks: Limiting distribution of the MLE

P. Groeneboom, M.H. Maathuis, J.A. Wellner

Research output: Contribution to JournalArticleAcademicpeer-review

136 Downloads (Pure)

Abstract

We study nonparametric estimation for current status data with competing risks. Our main interest is in the nonparametric maximum likelihood estimator (MLE), and for comparison we also consider a simpler "naive estimator." Groeneboom. Maathuis and Wellner [Ann. Statist. (2008) 36 1031-1063] proved that both types of estimators converge globally and locally at rate n
Original languageEnglish
Pages (from-to)1064-1089
Number of pages26
JournalAnnals of Statistics
Volume36
Issue number3
DOIs
Publication statusPublished - 2008

Fingerprint

Dive into the research topics of 'Current status data with competing risks: Limiting distribution of the MLE'. Together they form a unique fingerprint.

Cite this