Hazard function estimation from homogeneous right censored data with missing censoring indicators

Document Type

Article

Publication Date

11-1-2008

Abstract

The kernel smoothed Nelson-Aalen estimator has been well investigated, but is unsuitable when some of the censoring indicators are missing. A representation introduced by Dikta, however, facilitates hazard estimation when there are missing censoring indicators. In this article, we investigate (i) a kernel smoothed semiparametric hazard estimator and (ii) a kernel smoothed "pre-smoothed" Nelson-Aalen estimator. We derive the asymptotic normality of the proposed estimators and compare their asymptotic variances. © 2008 Elsevier B.V. All rights reserved.

Identifier

54049087449 (Scopus)

Publication Title

Statistical Methodology

External Full Text Location

https://doi.org/10.1016/j.stamet.2008.01.003

ISSN

15723127

First Page

515

Last Page

527

Issue

6

Volume

5

Grant

R15 CA103845

Fund Ref

National Cancer Institute

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