Scholars World Congress on

Cancer Research and Oncology

THEME: "Frontiers in Cancer Research and Oncology"

img2 14-15 Nov 2022
img2 TIME Asma Hotel, Albarsha | Dubai, UAE & Online (Hybrid event)
Mohamed Elamin Omer

Mohamed Elamin Omer

University of Science and Technology, Sudan

Title: Utilization of a Mixture Cure Rate Model based on the Generalized Modified Weibull Distribution for the Analysis of Leukemia Patients


Biography

Mohamed Elamin Abdallah is a statistics lecturer at the Sudan University of Science and Technology. He has been in the education sector for twenty-two years now and a researcher for the last four. He is  currently a Ph.D. candidate at Universiti Putra Malaysia. He wrote  and published a few articles about the application of cure models in the survival analysis of cancer patients.

Abstract

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 susceptible patients is specified, researchers usually prefer cure models to parametric models. Different distributions can be assumed for the survival times, for instance, generalized modified Weibull (GMW), exponentiated Weibull (EW), and log-beta Weibull. The purpose of this study is to select the best distribution for uncured patients’ survival times by comparing the mixture cure models based on the GMW distribution and its particular cases.