Massieh, P. M. A. E., A. M. Mohamed, M. I. Mostafa, and S. H. A. Latif, "Comparing The Performance of Penalized Logistic Regression versus other Machine Learning Algorithms in Predicting Phenotypes of Ectodermal Dysplasia Patients", Interciencia Journal, vol. 48, issue 12, pp. 2-37, 2023.
Saad, M. R., A. H. Youssef, and S. A. H. Latif, "The Performance of Quantile Regression and Linear Regression with Heteroskedasticity Was Compared in a Simulation Study", Journal of Statistics Applications & Probability, vol. 12, issue 2, pp. 635-655, 2023.
Megally, A., A. Youssef, and S. H. Abdel-Latif, "Heterogeneous Three-Dimensional Panel Data Models", J. Stat. Appl. Pro., vol. 13, issue 3, pp. 919-927, 2024.
Abozaid, E. S., S. A. H. Latif, and S. M. Mohamed, "Profile Monitoring of Residual Control Charts under Gamma Additive Models", Thailand Statistician, vol. 21, issue 4, pp. 824-838, 2023.
Youssef, A. H., E. S. Mohamed, and S. H. A. Latif, "Handling multi-collinearity using principal component analysis with the panel data model", EUREKA: Physics and Engineering, issue 1, pp. 177-188, 2023.
Mohamed, S. M., E. S. Abozaid, and S. H. A. Latif, "Profile Monitoring of Residuals Control Charts Under Gamma Regression Model", Eastern-European Journal of Enterprise Technologies, vol. 6, issue 4(120), pp. 23–31, 2022.
Yussef, S. N., A. H. Youssef, and S. H. Abdel-Latif, "Performance of new liu-type logistic estimators in combating multicollinearity", J. Stat. Appl. Pro, vol. 11, issue 3, pp. 1057-1073, 2022.
Latif, S. H. A., A. S. Alwan, and A. M. Mohamed, "Principal component analysis as tool for data reduction with an application", EUREKA: Physics and Engineering, issue 5, pp. 184-198, 2022.