摘要：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.
关键词：Non-mixture model; Fréchet distribution; Right-censored survival data; Maximum likelihood method Non-mixture model ; Fréchet distribution ; Right-censored survival data ; Maximum likelihood method
