Next Article in Journal
Statistical Inference for Progressive Stress Accelerated Life Testing with Birnbaum-Saunders Distribution
Previous Article in Journal
Decreasing Respondent Heterogeneity by Likert Scales Adjustment via Multipoles
Article Menu

Export Article

Open AccessArticle

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

Department of Mathematical Sciences, Florida Atlantic University, Boca Raton, FL 33431, USA
*
Author to whom correspondence should be addressed.
Durga H. Kutal currently is a visiting assistant professor at Wake Forest University, NC, USA.
Lianfen Qian is a distinguished guest professor of Wenzhou University, Wenzhou, China.
Stats 2018, 1(1), 176-188; https://doi.org/10.3390/stats1010013
Received: 29 September 2018 / Revised: 6 November 2018 / Accepted: 7 November 2018 / Published: 15 November 2018
  |  
PDF [323 KB, uploaded 18 January 2019]
  |  

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. View Full-Text
Keywords: Non-mixture model; Fréchet distribution; Right-censored survival data; Maximum likelihood method Non-mixture model; Fréchet distribution; Right-censored survival data; Maximum likelihood method
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

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

Show more citation formats Show less citations formats

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Stats EISSN 2571-905X Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top