Preprint Article Version 1 This version is not peer-reviewed

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

Version 1 : Received: 29 September 2018 / Approved: 29 September 2018 / Online: 29 September 2018 (07:55:08 CEST)

A peer-reviewed article of this Preprint also exists.

Kutal, D.H.; Qian, L. A Non-Mixture Cure Model for Right-Censored Data with Fréchet Distribution. Stats 2018, 1, 176-188. Kutal, D.H.; Qian, L. A Non-Mixture Cure Model for Right-Censored Data with Fréchet Distribution. Stats 2018, 1, 176-188.

Journal reference: Stats 2018, 1, 13
DOI: 10.3390/stats1010013

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. Comparing 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.

Subject Areas

non-mixture model; Fréchet distribution; right censored survival data; maximum likelihood method

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