TY  - JOUR
T1  - Non-parametric maximum likelihood estimation of cure fraction for interval survival data.
A1  - I. Aljawadi, Bader Ahmad
LA  - English
LA  - English
PB  - CESER Publications
YR  - 2011
UL  - http://discoverylib.upm.edu.my/discovery/Record/oai:psasir.upm.edu.my:24825
AB  - 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.
ER  -