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

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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.

Original languageEnglish (US)
Pages (from-to)515-527
Number of pages13
JournalStatistical Methodology
Volume5
Issue number6
DOIs
StatePublished - Nov 1 2008

All Science Journal Classification (ASJC) codes

  • Statistics and Probability

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