On a new piecewise regression model with cure rate: diagnostics and application to medical data
YM Gómez, DI Gallardo, J Leão… - Statistics in …, 2021 - Wiley Online Library
In this article, we discuss an extension of the classical negative binomial cure rate model
with piecewise exponential distribution of the time to event for concurrent causes, which …
with piecewise exponential distribution of the time to event for concurrent causes, which …
Survival models induced by zero-modified power series discrete frailty: Application with a melanoma data set
KC Molina, VF Calsavara… - Statistical Methods in …, 2021 - journals.sagepub.com
Survival models with a frailty term are presented as an extension of Cox's proportional
hazard model, in which a random effect is introduced in the hazard function in a …
hazard model, in which a random effect is introduced in the hazard function in a …
The negative binomial beta prime regression model with cure rate: application with a melanoma dataset
This paper introduces a cure rate survival model by assuming that the time to the event of
interest follows a beta prime (BP) distribution and that the number of competing causes of …
interest follows a beta prime (BP) distribution and that the number of competing causes of …
The estimation of long and short term survival time and associated factors of HIV patients using mixture cure rate models
Background HIV is one of the deadliest epidemics and one of the most critical global public
health issues. Some are susceptible to die among people living with HIV and some survive …
health issues. Some are susceptible to die among people living with HIV and some survive …
Weighted Lindley frailty model: estimation and application to lung cancer data
In this paper, we propose a novel frailty model for modeling unobserved heterogeneity
present in survival data. Our model is derived by using a weighted Lindley distribution as the …
present in survival data. Our model is derived by using a weighted Lindley distribution as the …
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 …
A general class of promotion time cure rate models with a new biological interpretation
YM Gómez, DI Gallardo, M Bourguignon, E Bertolli… - Lifetime Data …, 2023 - Springer
Over the last decades, the challenges in survival models have been changing considerably
and full probabilistic modeling is crucial in many medical applications. Motivated from a new …
and full probabilistic modeling is crucial in many medical applications. Motivated from a new …
[HTML][HTML] 恶性黑色素瘤患者的预后及影响因素研究
武淑琴， 王远涵， 郑凯元， 韩红娟， 康金秀， 余红梅 - 中国全科医学, 2024 - chinagp.net
背景恶性黑色素瘤(MM) 由表皮黑色素细胞恶性变而成, 恶性程度极高, 其防治是皮肤病领域的
重点课题. 目的探讨MM 患者的预后情况及其影响因素. 方法选取2006—2021 …
重点课题. 目的探讨MM 患者的预后情况及其影响因素. 方法选取2006—2021 …
Nonproportional hazards model with a frailty term for modeling subgroups with evidence of long‐term survivors: Application to a lung cancer dataset
With advancements in medical treatments for cancer, an increase in the life expectancy of
patients undergoing new treatments is expected. Consequently, the field of statistics has …
patients undergoing new treatments is expected. Consequently, the field of statistics has …
Multistate models with nested frailty for lifetime analysis: Application to bone marrow transplantation recovery patients
JKJ Vasquez, KC Molina, V Tomazella… - … in Statistics-Theory …, 2024 - Taylor & Francis
Multistate models allow individuals to move through a series of states over time, making it
possible to estimate the transition probabilities and intensities between states and the effect …
possible to estimate the transition probabilities and intensities between states and the effect …