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Non-mixture cure model for interval censored data: a simulation study


Citation

Taweab, Fauzia and Ibrahim, Noor Akma and Arasan, Jayanthi and Abu Bakar, Mohd Rizam (2014) Non-mixture cure model for interval censored data: a simulation study. Malaysian Journal of Mathematical Sciences, 8 (S). pp. 37-44. ISSN 1823-8343; ESSN: 2289-750X

Abstract

With the ongoing advance in the medical sciences, we may quite often encounter data sets where some patients have been cured from disease. Standard survival models are usually not appropriate for modeling such data because they simply do not take into account the possibility of cure. In this article, a non-mixture cure model is proposed based on lognormal distribution when the exact time of the event of disease is subject to interval censoring. The maximum likelihood estimation (MLE) method is implemented to estimate the parameters and a simulation study is conducted to assess the performance of the estimators under various conditions. The study results demonstrate that the bias, standard error, and root mean squared error values of the parameters estimates decrease with the increase in sample size and that the estimation method is more robust for data sets that have low censoring rates.


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Additional Metadata

Item Type: Article
Divisions: Institute for Mathematical Research
Publisher: Institute for Mathematical Research, Universiti Putra Malaysia
Keywords: Non-mixture cure model; Interval censoring; Maximum likelihood method; Lognormal distribution
Depositing User: Nabilah Mustapa
Date Deposited: 04 Sep 2015 11:04
Last Modified: 04 Sep 2015 11:04
URI: http://psasir.upm.edu.my/id/eprint/39049
Statistic Details: View Download Statistic

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