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Rate My Professor Mohammad Sahtout

Utah Valley University

Ratings & reviews

5.04/23/2026

Always supportive and inspiring to all.

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About Mohammad

Mohammad Sahtout holds a Ph.D. in Statistics from Kansas State University, obtained in 2014. His doctoral dissertation, titled 'Improving the Performance of the PAM Algorithm via Different Thresholding Methods and Heteroscedastic Modeling,' advanced the Prediction Analysis of Microarrays (PAM) method for high-dimensional gene expression data classification in cancer studies. Sahtout extended the algorithm with hard and order thresholding techniques and introduced heteroscedastic modeling, resulting in superior parameter estimates, higher prediction accuracy, and more parsimonious models when evaluated on 10 multi-class human cancer microarray datasets. Earlier, he completed a master’s degree report in 2009 on 'Type I Error Rates Under Covariance Model Selection in Mixed Linear Models,' analyzing AIC performance for covariance structures like ARMA(1,1), AR(1), and MA(1) using balanced repeated measures data and SAS Proc Mixed. His master’s thesis from 2005-2006, 'On Sup-Entropy Measures,' generalized sup-entropy to other entropy measures, derived relationships, computed values for geometric and exponential distributions, and applied them to the normal approximation of the binomial distribution using Mathematica.

Rate My Professor Mohammad Sahtout | Utah Valley University