scholarly journals Proportional Odds under Conway-Maxwell-Poisson Cure Rate Model and Associated Likelihood Inference

2018 ◽  
Vol 6 (3) ◽  
Author(s):  
N. Balakrishnan ◽  
T. Feng
Keyword(s):  
Likelihood Inference ◽  
Rate Model ◽  
Cure Rate ◽  
Proportional Odds ◽  
Cure Rate Model

scholarly journals BAYESIAN AND MAXIMUM LIKELIHOOD INFERENCE FOR THE DEFECTIVE GOMPERTZ CURE RATE MODEL WITH COVARIATES: AN APPLICATION TO THE CERVICAL CARCINOMA STUDY

2017 ◽  
Vol 39 (2) ◽  
pp. 244 ◽  
Author(s):  
Milene Regina Dos Santos ◽  
Jorge Alberto Achcar ◽  
Edson Zangiacomi Martinez
Keyword(s):  
Maximum Likelihood ◽  
Cervical Carcinoma ◽  
Disease Free Survival ◽  
Likelihood Inference ◽  
Rate Model ◽  
Cure Rate ◽  
Free Survival ◽  
Cure Rate Model ◽  
Analyse Data ◽  
Method R

Survival analysis is a class of statistical methods to study the time until the occurrence of a specified event. The usual methods assume that all individuals under study are subjects to the event the interest. However, there are situations where this case is unrealistic. For example, in a clinical research, a proportion of patients could respond favourably to the treatment under investigation and consequently they would not die from the disease. Models based on defective distributions are a suitable way to analyse data with these characteristics. In this paper, we present Bayesian and maximum likelihood inference for the defective Gompertz cure rate model in presence of covariates. An example with application to disease-free survival of women treated for cervical carcinoma is used to illustrate the proposed methodology. In the Bayesian analysis, posterior distributions of parameters are estimated using the Markov chain Monte Carlo (MCMC) method. R, SAS and OpenBUGS codes are provided in the appendix at the end of the paper so that reader can carry out their own analysis.

scholarly journals Fitting Cure Rate Model to Breast Cancer Data of Cancer Research Center

2015 ◽  
Vol 16 (17) ◽  
pp. 7923-7927 ◽  
Author(s):  
Ahmad Reza Baghestani ◽  
Farid Zayeri ◽  
Mohammad Esmaeil Akbari ◽  
Leyla Shojaee ◽  
Naghmeh Khadembashi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Research ◽  
Research Center ◽  
Rate Model ◽  
Breast Cancer Data ◽  
Cure Rate ◽  
Cancer Data ◽  
Cure Rate Model

Hazard regression model and cure rate model in colon cancer relative survival trends: are they telling the same story?

2008 ◽  
Vol 23 (4) ◽  
pp. 251-259 ◽  
Author(s):  
Theodora Bejan-Angoulvant ◽  
Anne-Marie Bouvier ◽  
Nadine Bossard ◽  
Aurelien Belot ◽  
Valérie Jooste ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Regression Model ◽  
Relative Survival ◽  
Rate Model ◽  
Cure Rate ◽  
Hazard Regression ◽  
Cure Rate Model
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