Extended Exponential-Weibull Mixture Cure Model for the Analysis of Cancer Clinical Trials

In the examination of survival statistics, it is frequently assumed that all the study subjects would ultimately experience the concerning event. However, it is unquestionably predicted that some of these subjects will never be exposed to the interesting event. This kind of data is typically modelled using the cure rate models. In this study, it is proposed a maximum likelihood estimates method for analyzing the four-parameter extended exponential-Weibull (ExEw) distribution where cured subjects, censored data, and predictors are present. The extended exponential-Weibull mixture cure model in this paper is proposed with the aim of accounting for the fraction of susceptible (cured) subjects in the study.The proposed mixture cure model is the superior model that fits the real data from Cancer clinical trials.