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On semiparametric random censorship models

โœ Scribed by Gerhard Dikta

Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
935 KB
Volume
66
Category
Article
ISSN
0378-3758

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โœฆ Synopsis

We propose and study a semiparametric estimator of the distribution function in the random censorship model which generalizes the Cheng and Lin estimator in the proportional hazards model. Uniform consistency and a functional central limit result for this estimator are established. Some efficiency comparisons with the Kaplan-Meier estimator are also included.

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