Compounding of distributions: a survey and new generalized classes
Generalizing distributions is an old practice and has ever been considered as precious as
many other practical problems in statistics. It simply started with defining different …
many other practical problems in statistics. It simply started with defining different …
A New Cure Rate Model Based on Flory–Schulz Distribution: Application to the Cancer Data
In this article a new flexible survival cure rate model is introduced by assuming that the
number of competing causes of the event of interest follows the Flory–Schulz distribution …
number of competing causes of the event of interest follows the Flory–Schulz distribution …
A new cure rate frailty regression model based on a weighted Lindley distribution applied to stomach cancer data
In this paper, we propose a new cure rate frailty regression model based on a two-parameter
weighted Lindley distribution. The weighted Lindley distribution has attractive properties …
weighted Lindley distribution. The weighted Lindley distribution has attractive properties …
A Modified Cure Rate Model Based on a Piecewise Distribution with Application to Lobular Carcinoma Data
A novel cure rate model is introduced by considering, for the number of concurrent causes,
the modified power series distribution and, for the time to event, the recently proposed power …
the modified power series distribution and, for the time to event, the recently proposed power …
Mixture and non-mixture cure models with GeTNH distribution for the application to cancer data
Mixture and non-mixture cure rate models are usually used to analyze lifetime data in
medical studies and clinical trials. In this article, based on generalized truncated Nadarajah …
medical studies and clinical trials. In this article, based on generalized truncated Nadarajah …
Incorporation of frailties into a non-proportional hazard regression model and its diagnostics for reliability modeling of downhole safety valves
In this paper, our proposal consists of incorporating frailty into a statistical methodology for
modeling time-to-event data, based on non-proportional hazards regression model …
modeling time-to-event data, based on non-proportional hazards regression model …
Log-burr xii gamma–weibull regression model with random effects and censored data
EM Hashimoto, GO Silva, EMM Ortega… - Journal of Statistical …, 2019 - Springer
It may happen in some applications that the assumption of independence of survival times
does not hold. Thus, we propose a new log-Burr XII regression model with log-gamma …
does not hold. Thus, we propose a new log-Burr XII regression model with log-gamma …
Generalized beta Weibull linear model: Estimation, diagnostic tools and residual analysis
We propose a new regression model based on the concepts of generalized linear models
(GLMs), assuming the beta Weibull distribution. Similar to GLMs, the proposed model is …
(GLMs), assuming the beta Weibull distribution. Similar to GLMs, the proposed model is …
Promotion time cure model with generalized Poisson-Inverse Gaussian Distribution
Background & Aim: In the survival data with Long-term survivors the event has not occurred
for all the patients despite long-term follow-up, so the survival time for a certain percent is …
for all the patients despite long-term follow-up, so the survival time for a certain percent is …
[PDF][PDF] Journal of Biostatistics and Epidemiology
M Rahimzadeh, B Kavehie - jbe.tums.ac.ir
Background & Aim: In the survival data with Long-term survivors the event has not occurred
for all the patients despite long-term follow-up, so the survival time for a certain percent is …
for all the patients despite long-term follow-up, so the survival time for a certain percent is …