%0 Journal Article
%T A Non-Mixture Cure Model for Right-Censored Data with Fr¨Śchet Distribution
%A Durga H. Kutal
%A Lianfen Qian
%J Stats | An Open Access Journal from MDPI
%D 2018
%R https://doi.org/10.3390/stats1010013
%X Abstract This paper considers a non-mixture cure model for right-censored data. It utilizes the maximum likelihood method to estimate model parameters in the non-mixture cure model. The simulation study is based on Fr¨Śchet susceptible distribution to evaluate the performance of the method. Compared with Weibull and exponentiated exponential distributions, the non-mixture Fr¨Śchet distribution is shown to be the best in modeling a real data on allogeneic marrow HLA-matched donors and ECOG phase III clinical trial e1684 data. View Full-Tex
%K Non-mixture model
%K Fr¨Śchet distribution
%K Right-censored survival data
%K Maximum likelihood method
%U https://www.mdpi.com/2571-905X/1/1/13