Parametric maximum likelihood estimation of cure fraction using interval-censored data

A significant proportion of patients in cancer clinical trials can be cured. That is, the symptoms of the disease disappear completely and the disease never recurs. In this article, the focus is on estimation of the proportion of patients who are cured. The parametric maximum likelihood estimati...

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Main Authors: Aljawadi, Bader Ahmad I., Abu Bakar, Mohd Rizam, Ibrahim, Noor Akma, Al-Omari, Mohamad
Format: Article
Language:English
Published: Columbia International Publishing 2013
Online Access:http://psasir.upm.edu.my/id/eprint/30398/
http://psasir.upm.edu.my/id/eprint/30398/1/Parametric%20maximum%20likelihood%20estimation%20of%20cure%20fraction%20using%20interval.pdf
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author Aljawadi, Bader Ahmad I.
Abu Bakar, Mohd Rizam
Ibrahim, Noor Akma
Al-Omari, Mohamad
author_facet Aljawadi, Bader Ahmad I.
Abu Bakar, Mohd Rizam
Ibrahim, Noor Akma
Al-Omari, Mohamad
author_sort Aljawadi, Bader Ahmad I.
building UPM Institutional Repository
collection Online Access
description A significant proportion of patients in cancer clinical trials can be cured. That is, the symptoms of the disease disappear completely and the disease never recurs. In this article, the focus is on estimation of the proportion of patients who are cured. The parametric maximum likelihood estimation method was used for estimation of the cure fraction based on application of the bounded cumulative hazard (BCH) model to interval-censored data. We ran the analysis using the EM algorithm considering two cases: i) when no covariates were involved in the estimation, and ii) when some covariates were involved. This paper shows derivation of the estimation equations for the cure rate parameter followed by a simulation study.
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spelling upm-303982016-02-15T05:02:46Z http://psasir.upm.edu.my/id/eprint/30398/ Parametric maximum likelihood estimation of cure fraction using interval-censored data Aljawadi, Bader Ahmad I. Abu Bakar, Mohd Rizam Ibrahim, Noor Akma Al-Omari, Mohamad A significant proportion of patients in cancer clinical trials can be cured. That is, the symptoms of the disease disappear completely and the disease never recurs. In this article, the focus is on estimation of the proportion of patients who are cured. The parametric maximum likelihood estimation method was used for estimation of the cure fraction based on application of the bounded cumulative hazard (BCH) model to interval-censored data. We ran the analysis using the EM algorithm considering two cases: i) when no covariates were involved in the estimation, and ii) when some covariates were involved. This paper shows derivation of the estimation equations for the cure rate parameter followed by a simulation study. Columbia International Publishing 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/30398/1/Parametric%20maximum%20likelihood%20estimation%20of%20cure%20fraction%20using%20interval.pdf Aljawadi, Bader Ahmad I. and Abu Bakar, Mohd Rizam and Ibrahim, Noor Akma and Al-Omari, Mohamad (2013) Parametric maximum likelihood estimation of cure fraction using interval-censored data. Journal of Advanced Computing, 2 (2). pp. 43-58. ISSN 2165-7823 http://dx.doi.org/10.7726/jac.2013.1004 10.7726/jac.2013.1004
spellingShingle Aljawadi, Bader Ahmad I.
Abu Bakar, Mohd Rizam
Ibrahim, Noor Akma
Al-Omari, Mohamad
Parametric maximum likelihood estimation of cure fraction using interval-censored data
title Parametric maximum likelihood estimation of cure fraction using interval-censored data
title_full Parametric maximum likelihood estimation of cure fraction using interval-censored data
title_fullStr Parametric maximum likelihood estimation of cure fraction using interval-censored data
title_full_unstemmed Parametric maximum likelihood estimation of cure fraction using interval-censored data
title_short Parametric maximum likelihood estimation of cure fraction using interval-censored data
title_sort parametric maximum likelihood estimation of cure fraction using interval-censored data
url http://psasir.upm.edu.my/id/eprint/30398/
http://psasir.upm.edu.my/id/eprint/30398/
http://psasir.upm.edu.my/id/eprint/30398/
http://psasir.upm.edu.my/id/eprint/30398/1/Parametric%20maximum%20likelihood%20estimation%20of%20cure%20fraction%20using%20interval.pdf