A non-mixture cure model for right-censored data with Fréchet distribution
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 Fréchet susceptible distribution to evaluate the
performance of the method. Compared with Weibull and exponentiated exponential
distributions, the non-mixture Fréchet 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 …
maximum likelihood method to estimate model parameters in the non-mixture cure model.
The simulation study is based on Fréchet susceptible distribution to evaluate the
performance of the method. Compared with Weibull and exponentiated exponential
distributions, the non-mixture Fréchet 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 …
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 Fréchet susceptible distribution to evaluate the performance of the method. Compared with Weibull and exponentiated exponential distributions, the non-mixture Fréchet 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.
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