Statistical modeling for the prediction of survival rate in a neurodegenerative disease

Abstract

A new survival model called the Marshall-Olkin Generalized Defective Gompertz Distribution (MO-GDGD) has been recently developed. We present in this paper some mathematical properties of the model. An exhaustive simulation study is conducted for various values of the parameters of MO-GDGD and different sample sizes. Statistical inference methods were applied for the survival analysis of patients suffering from the neurogenerative pathology Amyotrophic Lateral Sclerosis. The type I right-censorship of the data was taken into account. Interesting results have been obtained.