EM algorithm-based likelihood estimation for a generalized Gompertz regression model in presence of survival data with long-term survivors: an application to uterine cervical cancer data-Reference-Cited by-同舟云学术

EM algorithm-based likelihood estimation for a generalized Gompertz regression model in presence of survival data with long-term survivors: an application to uterine cervical cancer data

Published:2017-01-31 Issue:9 Volume:87 Page:1712-1722
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Borges Patrick¹

Affiliation:

1. Departamento de Estatística, Universidade Federal do Espírito Santo, Goiabeiras, Vitória, Espírito Santo, Brazil

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2017.1281927

Reference28 articles.

1. Survival Curve for Cancer Patients Following Treatment

2. Testing for the Presence of Immune or Cured Individuals in Censored Survival Data

3. Review and implementation of cure models based on first hitting times for Wiener processes

4. Bayesian and likelihood inference for cure rates based on defective inverse Gaussian regression models

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