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Hindi Journal of Applied Bioinformatics & Computational BiologyISSN: 2329-9533
Hani M. Samawi Author
Subjects of specialization
Affiliation
Multivariate Statistics, Statistical Modeling, Linear Regression, R Programming, Statistical Analysis
Department of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA 30460, USA
Biography
Dr. Hani Samawi is a tenured Full Professor in Biostatistics in Jiann-Ping Hsu college of Public Health College at Georgia Southern university. Dr. Samawi received both MSc and Ph.D from the University of Iowa, USA.Dr. Samawi brings about 24 years of experience teaching statistics and biostatistics undergraduate and graduate courses, research in several biostatistical areas, statistical consultation and academic administrator (Department chair at Yarmouk University and Director of the Karl E. Peace Center for Biostatistics from August 2008 to June 2016 at Georgia Southern University).
Publications
Research Article Open Access
Kullback-Leibler Divergence for Medical Diagnostics Accuracy and Cut-point Selection Criterion: How it is related to the Youden Index
Author(s): Hani M. Samawi, Jingjing Yin, Xinyan Zhang, Lili Yu, Haresh Rochani, Robert Vogel and Chen Mo
Recently, the Kullback-Leibler divergence (KL), which captures the disparity between two distributions, has been considered as an index for determining the diagnostic performance of markers. In this work, we propose using a total KL discrete version (TKLdiscrete), after the discretization of a continuous biomarker, as an optimization criterion for cut-point selection. We linked the proposed TKLdiscrete measure with the Youden index, which is the most commonly used cut-point selection criterion. In addition, we present theoretically and numerically the derived relations in situations of one cut-point (two categories) as well as multiple category markers under binary disease status. This study also investigates a variety of applications of KL divergence in medical diagnostics. For example... view more»
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