The missing censoring indicator model and the smoothed bootstrap

Document Type

Article

Publication Date

12-15-2008

Abstract

For right censored data with missing censoring indicators, sub-density function kernel estimators play a significant role for estimating a survival function. Data-driven bandwidths for computing these kernel estimators are proposed. The bandwidths are obtained as minimizers of certain estimates of the mean integrated squared error (MISE). It is shown that the smoothed bootstrap offers a motivation for choosing the proposed MISE estimates for minimization. The efficacy of the proposed procedures is investigated through simulation studies and some illustrations are provided. © 2008 Elsevier B.V. All rights reserved.

Identifier

55549113163 (Scopus)

Publication Title

Computational Statistics and Data Analysis

External Full Text Location

https://doi.org/10.1016/j.csda.2008.08.019

ISSN

01679473

First Page

471

Last Page

476

Issue

2

Volume

53

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