Non-parametric maximum likelihood estimation of cure fraction for interval survival data.
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 e...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English English |
| Published: |
CESER Publications
2011
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| Online Access: | http://psasir.upm.edu.my/id/eprint/24825/1/Non.pdf http://psasir.upm.edu.my/id/eprint/24825/ http://www.ceser.in/ijamas.html |
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| Institution: | Universiti Putra Malaysia |
| Language: | English English |
| Summary: | 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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