Citation
I. Aljawadi, Bader Ahmad and Abu Bakar, Mohd Rizam and Ibrahim, Noor Akma
(2011)
Non-parametric maximum likelihood estimation of cure fraction for interval survival data.
International Journal of Applied Mathematics and Statistics, 21 (J11).
118 - 130.
ISSN 0973-7545
Abstract
In cancer clinical trials, a significant fraction of patients can be cured, that is, the symptoms of the disease are completely eliminated, so that it will never recurs. In this article the focus is on the estimation of the proportion of patients who are cured. The Nonparametric maximum likelihood estimation method is used for interval censored data based on the bounded cumulative hazard (BCH) model. We implement the Turnbull algorithm for the survival function estimation using EM algorithm. The analysis shows the analytical solution of the estimating equations for the cure proportion followed by a simulation study.
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Science Institute for Mathematical Research |
| Publisher: | CESER Publications |
| Keywords: | Cure fraction; Interval censoring; Turnbull estimator; EM algorithm; BCH model. |
| Depositing User: | Nur Farahin Ramli |
| Date Deposited: | 28 Aug 2013 03:37 |
| Last Modified: | 23 Sep 2015 03:00 |
| URI: | http://psasir.upm.edu.my/id/eprint/24825 |
| Statistic Details: | View Download Statistic |
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