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

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

doi:10.1214/009053607000000983

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

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

Mathematics

Research output: Contribution to Journal › Article › Academic › peer-review

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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 language	English
Pages (from-to)	1064-1089
Number of pages	26
Journal	Annals of Statistics
Volume	36
Issue number	3
DOIs	https://doi.org/10.1214/009053607000000983
Publication status	Published - 2008

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AB - 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

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DO - 10.1214/009053607000000983

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VL - 36

SP - 1064

EP - 1089

JO - Annals of Statistics

JF - Annals of Statistics

IS - 3

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

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