Longitudinal studies often incur several problems that challenge standard statistical
methods for data analysis. These problems include non-ignorable missing data in …

Designed clinical studies often assess outcomes at pre-planned time points. In most
situations, standard statistical models, such as generalized linear mixed models and …

Censored data are considered to be of the interval type where the upper and lower bounds
of an event's failure time cannot be directly observed but only determined between interval …

This article discusses estimation of the cure rate by means of the bounded cumulative
hazard (BCH) model using interval censored data. The parametric and nonparametric …

In this paper we use a methodology based on the Weibull distributions covariates in the
presence of cure fraction models, censored data and covariates. Objective: The objective of …

Using simultaneous Bayesian modeling, an attempt is made to analyze data on the size of
lymphedema occurring in the arms of breast cancer patients after breast cancer surgery (as …

Models for survival data that includes the proportion of individuals who are not subject to the
event under study are known as a cure fraction models or simply called long-term survival …

Cure models are survival models basically developed to estimate the proportion of patients
cured in a clinical trial. These models estimate the cured proportion and also the probability …

Cure fraction models are usually meant for survival data that contains a proportion of non-
subject individuals for the event under study. In order to get an accurate estimate of the cure …

In a cohort study, subjects are followed-up over a long period. In addition to baseline
characteristics, often longitudinal measurements thought to be important predictors of …