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 …

The ongoing pandemic of COVID-19 has changed every aspect of life. Most of the people
who become a victim of COVID-19 experience mild to moderate symptoms, but some people …

Objective: Cure rate models are survival models, commonly applied to model survival data
with a cured fraction. In the existence of a cure rate, if the distribution of survival times for …

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 …

Objective: Cure models are frequently used in survival analysis to account for a cured
fraction in the data. When there is a cure rate present, researchers often prefer cure models …

In this study, two new distributions are developed by compounding Sine‐Weibull and zero‐
truncated geometric distributions. The quantile and ordinary moments of the distributions are …

In this paper, a new long term survival model called Nadarajah-Haghighi model for survival
data with long term survivors was proposed. The model is used in fitting data where the …

Objective: To examine the potential difference in survival and risk of death between
asymptomatic and symptomatic SARS-CoV-2 patients, controlled by age and gender for all …

Mixture cure rate model for right censored survival data is considered in the present paper.
We consider the case where the lifetime data follow the Weibull exponentiated exponential …

In survival analysis it is assumed that every individual in the study population will eventually
experience the event of interest if followed-up for a long period of time. However, there are …