In this paper, we develop the steps of the expectation maximization algorithm (EM algorithm)
for the determination of the maximum likelihood estimates (MLEs) of the parameters of the …

The trade-offs between survival benefits and therapeutic adverse effects on quality of life
(QOL) is always an important clinical issue for cancer and AIDS patients. The International …

With rapid improvements in medical treatment and health care, many datasets dealing with
time to relapse or death now reveal a substantial portion of patients who are cured (ie, who …

In this paper, we introduce a flexible family of cure rate models, mainly motivated by the
biological derivation of the classical promotion time cure rate model and assuming that a …

There is a growing interest in the analysis of survival data with a cured proportion
particularly in tumor recurrences studies. Biologically, it is reasonable to assume that the …

This article considers the utility of the bounded cumulative hazard model in cure rate
estimation, which is an appealing alternative to the widely used two-component mixture …

The main goal of this paper is to investigate a cure rate model that comprehends some well‐
known proposals found in the literature. In our work the number of competing causes of the …

In this paper, we consider a competitive scenario and assume the initial number of
competing causes to undergo a destruction after an initial treatment. This brings in a more …

The semiparametric Cox regression model is often fitted in the modeling of survival data.
One of its main advantages is the ease of interpretation, as long as the hazards rates for two …

Modern cancer treatments have substantially improved cure rates and have generated a
great interest in and need for proper statistical tools to analyze survival data with …