The Log-exponentiated-Weibull Regression Models with Cure Rate: Local Influence and Residual Analysis

2021 ◽  
Vol 7 (4) ◽  
pp. 433-458
Author(s):  
Vicente G. Cancho ◽  
Edwin M. M. Ortega ◽  
Heleno Bolfarine
Keyword(s):  
Regression Models ◽  
Residual Analysis ◽  
Local Influence ◽  
Cure Rate ◽  
Weibull Regression ◽  
Exponentiated Weibull

Bayesian residual analysis for binary response regression models

Biometrika ◽  
1995 ◽  
Vol 82 (4) ◽  
pp. 747-769 ◽  
Author(s):  
JIM ALBERT ◽  
SIDDHARTHA CHIB
Keyword(s):  
Regression Models ◽  
Residual Analysis ◽  
Binary Response

Local influence in regression models for the detection of analytical bias

2006 ◽  
Vol 83 (2) ◽  
pp. 139-147 ◽  
Author(s):  
Mário de Castro ◽  
Manuel Galea-Rojas ◽  
Heleno Bolfarine ◽  
Márcio V. de Castilho
Keyword(s):  
Regression Models ◽  
Local Influence

A bivariate regression model for matched paired survival data: local influence and residual analysis

2010 ◽  
Vol 19 (4) ◽  
pp. 477-495 ◽  
Author(s):  
Gladys D. C. Barriga ◽  
Francisco Louzada-Neto ◽  
Edwin M. M. Ortega ◽  
Vicente G. Cancho
Keyword(s):  
Regression Model ◽  
Survival Data ◽  
Residual Analysis ◽  
Local Influence ◽  
Bivariate Regression

scholarly journals Cure Models with Exponentiated Weibull Exponential Distribution for the Analysis of Melanoma Patients

Mathematics ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 1926
Author(s):  
Mohamed Elamin Abdallah Mohamed Elamin Omer ◽  
Mohd Rizam Abu Bakar ◽  
Mohd Bakri Adam ◽  
Mohd Shafie Mustafa
Keyword(s):  
Survival Data ◽  
Real Data ◽  
Maximum Likelihood Estimates ◽  
Cure Rate ◽  
Cure Rate Models ◽  
Cure Model ◽  
Mixture Cure Model ◽  
Cure Models ◽  
Exponentiated Weibull ◽  
Melanoma Patients

In the survival data analysis, commonly, it is presumed that all study subjects will eventually have the event of concern. Nonetheless, it tends to be unequivocally expected that a fraction of these subjects will never expose to the event of interest. The cure rate models are usually used to model this type of data. In this paper, we introduced a maximum likelihood estimates analysis for the four-parameter exponentiated Weibull exponential (EWE) distribution in the existence of cured subjects, censored observations, and predictors. Aiming to include the fraction of unsusceptible (cured) individuals in the analysis, a mixture cure model, and two non-mixture cure models—bounded cumulative hazard model, and geometric non-mixture model with EWE distribution—are proposed. The mixture cure model provides a better fit to real data from a Melanoma clinical trial compared to the other two non-mixture cure models.

Testing homogeneity in Weibull-regression models

2005 ◽  
Vol 47 (5) ◽  
pp. 707-720 ◽  
Author(s):  
Heleno Bolfarine ◽  
Dione M. Valença
Keyword(s):  
Regression Models ◽  
Weibull Regression ◽  
Testing Homogeneity

Heteroscedastic log-exponentiated Weibull regression model

2017 ◽  
Vol 45 (3) ◽  
pp. 384-408 ◽  
Author(s):  
Edwin M. M. Ortega ◽  
Artur J. Lemonte ◽  
Gauss M. Cordeiro ◽  
Vicente G. Cancho ◽  
Fábio L. Mialhe
Keyword(s):  
Regression Model ◽  
Weibull Regression ◽  
Exponentiated Weibull ◽  
Weibull Regression Model
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