A Non-Mixture Cure Model for Right-Censored Data with Fréchet Distribution

  • Kutal D
  • Qian L
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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 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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Kutal, D. H., & Qian, L. (2018). A Non-Mixture Cure Model for Right-Censored Data with Fréchet Distribution. Stats, 1(1), 176–188. https://doi.org/10.3390/stats1010013

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