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

M. D. Esteban and D. Morales

Applied Stochastic Models and Data Analysis, 1995, vol. 11, issue 2, 145-157

Abstract: 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.

Date: 1995
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https://doi.org/10.1002/asm.3150110205

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Persistent link: https://EconPapers.repec.org/RePEc:wly:apsmda:v:11:y:1995:i:2:p:145-157

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