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Estimating a survival function with doubly censored data in a proportional hazard model

โœ Scribed by Esteban, M. D. ;Morales, D.

Publisher
John Wiley and Sons
Year
1995
Tongue
English
Weight
522 KB
Volume
11
Category
Article
ISSN
8755-0024

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โœฆ Synopsis

This article presents a non-parametric estimator of a survival function in a proportional hazard model when some of the data are censored on the left and some are censored on the right. The proposed method generalizes the work of Ebrahimi (1985). Uniformly strong consistency and asymptotic normality of the estimator are proved. A computer simulation study is presented to analyse the behaviour of the estimator when model assumptions fit the data and when they do not fit.

KEY WORDS right and left censoring; survival function; non-parametric inference; proportional hazard models

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