On Maximum Likelihood Estimation of Mixed Cure Fraction Model Assuming Stable Distribution

On March 10, 2021,  Khalid Salah published a new study in International Journal of Tomography and Simulation, titled “On Maximum Likelihood Estimation of Mixed Cure Fraction Model Assuming Stable Distribution” . The article aimed to (In cure rate models; few people will encounter special situations that involve the problem of model assumptions, especially the extreme values and censoring rate during the study period. Therefore, this research proposes a method that can use a stable distribution family, namely "log-Cauchy" as an alternative cure rate model for right-censored survival data. The results of this study demonstrated that In certain diseases with a high cure rate, it is worth using log-Cauchy distribution to analyze survival data through the cure rate survival model. For more information about the study, please contact the main author at This email address is being protected from spambots. You need JavaScript enabled to view it. the scientific research office at This email address is being protected from spambots. You need JavaScript enabled to view it..