Hazard estimation from right censored data with missing censoring indicators
نویسندگان
چکیده
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.
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