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Journal of Applied Sciences
  Year: 2006 | Volume: 6 | Issue: 3 | Page No.: 548-552
DOI: 10.3923/jas.2006.548.552
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An Analytical Approach on Cure Rate Estimation Based on Uncensored Data

M.T. Uddin, M.N. Islam and Q.I.U. Ibrahim

This study deals with the analysis of cure rate estimation under uncensored data. Cure models have been proposed for cure rate estimation. We have tried to estimate the parameter of the model using Maximum Likelihood Method (MLE). The analysis showed that the cure rate estimator converges to the true parameter when considered both cured and non-cured group. The analysis also showed that the estimating equation converges to the true equation of parameter when considered only non-cured group.
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  •    Cure Rate Models: A Review of Recent Progress with a Study of Change-point Cure Models when Cured is Partially Known
  •    A Class of Product-cum-dual to Product Estimators of the Population Mean in Survey Sampling Using Auxiliary Information
  •    Statistical Modeling of Breast Cancer Relapse Time with Different Treatments
  •    Identify Attributable Variables and Interactions in Breast Cancer
How to cite this article:

M.T. Uddin, M.N. Islam and Q.I.U. Ibrahim, 2006. An Analytical Approach on Cure Rate Estimation Based on Uncensored Data. Journal of Applied Sciences, 6: 548-552.

DOI: 10.3923/jas.2006.548.552






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