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Activity Number: 277
Type: Topic Contributed
Date/Time: Tuesday, August 8, 2006 : 10:30 AM to 12:20 PM
Sponsor: IMS
Abstract - #306219
Title: Limiting Distribution of the NPMLE for Current Status Data with Competing Risks
Author(s): Marloes Maathuis*+
Companies: University of Washington
Address: Department of Statistics, Seattle, WA, 98195,
Keywords: current status data ; competing risks ; asymptotics ; nonparametric estimation ; maximum likelihood estimator ; survival analysis
Abstract:

Current status data with competing risks naturally arise in cross-sectional survival studies when there are several failure causes. Given such data, we study the nonparametric maximum likelihood estimator (NPMLE) of the subdistribution functions. We focus on asymptotic properties of the NPMLE, which are nonstandard due to the current status censoring. In particular, we discuss global and local consistency, the global and local n^{1/3}-rate of convergence, and the local limiting distribution.

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