Forecasting Remission Time of a Treatment Method for Leukemia as an Application to Statistical Inference Approach

Authors

A. G. Atia, Department of Mathematics, Faculty of Science, Mansoura University, Mansoura, EgyptFollow
M. M. M. Mansour, Department of Basic Science, Faculty of Engineering, The British University in Egypt, El Sherouk City, Cairo, EgyptFollow
R. M. EL-Sagheer, High Institute of Computer and Management Information System, First Statement, New Cairo 11865, Cairo, EgyptFollow
B. S. El-Desouky, Department of Mathematics, Faculty of Science, Mansoura University, Mansoura, EgyptFollow

Abstract

In this paper, Weibull-Linear Exponential distribution (WLED) has been investigated whether being it is a well - fit distribution to a clinical real data. These data represent the duration of remission achieved by a certain drug used in the treatment of leukemia for a group of patients. The statistical inference approach is used to estimate the parameters of the WLED through the set of the fitted data. The estimated parameters are utilized to evaluate the survival and hazard functions and hence assessing the treatment method through forecasting the duration of remission times of patients. A two-sample prediction approach has been applied to obtain a predictive sample based on the Bayes estimates of the parameters. The statistical inference approach is applied to the case of censored data namely Type-II hybrid censoring scheme, which is common in clinical studies.

Recommended Citation

G. Atia, A.; M. M. Mansour, M.; M. EL-Sagheer, R.; and S. El-Desouky, B. (2023) "Forecasting Remission Time of a Treatment Method for Leukemia as an Application to Statistical Inference Approach," Information Sciences Letters: Vol. 12 : Iss. 2 , PP -.
Available at: https://digitalcommons.aaru.edu.jo/isl/vol12/iss2/32