Medicine and Health Sciences Commons^™

Cyberbullying And Self-Perceptions Of Students Associated With Their Academic Performance, Maham Muzamil, Gulzar H. Shah

Department of Health Policy and Community Health Faculty Publications

The aim of this study is to explore the factors influencing students’ academic achievements in secondary school level (grades 09 and 10). Those factors include students’ self-reported psychological and issues (e.g. being bullied through social media) as well as socioeconomic status. Study participants included610 students at senior secondary level (237 male and 363 female) randomly selected from ten different government schools. The schools were randomly selected from the lists provided by their respective Education District Officer (EDO). The data were collected by researchers with the help of teachers. Participants’ were offered as incentives a drawing for a gift certificate. Bivariate …

Evaluating The Efficiency Of Treatment Comparison In Crossover Design By Allocating Subjects Based On Ranked Auxiliary Variable, Yisong Huang, Hani Samawi, Robert Vogel, Jingjing Yin, Worlanyo E. Gato, Daniel Linder

Biostatistics Faculty Publications

The validity of statistical inference depends on proper randomization methods. However, even with proper randomization, we can have imbalanced with respect to important characteristics. In this paper, we introduce a method based on ranked auxiliary variables for treatment allocation in crossover designs using Latin squares models. We evaluate the improvement of the efficiency in treatment comparisons using the proposed method. Our simulation study reveals that our proposed method provides a more powerful test compared to simple randomization with the same sample size. The proposed method is illustrated by conducting an experiment to compare two different concentrations of titanium dioxide nanofiber …

Estimation Of P(X > Y) When X And Y Are Dependent Random Variables Using Different Bivariate Sampling Schemes, Hani M. Samawi, Amal Helu, Haresh Rochani, Jingjing Yin, Daniel Linder

Biostatistics Faculty Publications

The stress-strength models have been intensively investigated in the literature in regards of estimating the reliability θ = P (X > Y) using parametric and nonparametric approaches under different sampling schemes when X and Y are independent random variables. In this paper, we consider the problem of estimating θ when (X, Y) are dependent random variables with a bivariate underlying distribution. The empirical and kernel estimates of θ = P (X > Y), based on bivariate ranked set sampling (BVRSS) are considered, when (X, Y) are paired dependent continuous random variables. The estimators obtained are compared to their counterpart, bivariate simple random …

Fulfilling Community Health Assessment Requirements: Lessons Learned From Facilitating State-Wide Community Health Forums, Ashley D. Walker, Angela Peden, Stuart H. Tedders, John S. Barron, Aaron Jackson, Nicholas Williams, Bethrand Ugwu

Community Health Faculty Publications

Background: A prerequisite for National Public Health Accreditation is completion of a Community Health Assessment (CHA) that presents an exhaustive profile of the population served by a particular public health agency.

Methods: The Georgia Department of Public Health (GA DPH) contracted with the Center for Public Health Practice and Research at Georgia Southern University to facilitate five state-wide community health forums.

Results: Evaluation of the forums yielded qualitative data illustrating current challenges faced by Georgians, as well as assets that could be leveraged to improve health status.

Conclusion: Lessons learned from these state-wide community health forums can be applied to …

Improved Estimation Of Optimal Cut-Off Point Associated With Youden Index Using Ranked Set Sampling, Jingjing Yin, Hani M. Samawi, Daniel Linder

Biostatistics Faculty Publications

A diagnostic cut-off point of a biomarker measurement is needed for classifying a random subject to be either diseased or healthy. However, the cut-off point is usually unknown and needs to be estimated by some optimization criteria. One important criterion is the Youden index, which has been widely adopted in practice. The Youden index, which is defined as the maximum of (sensitivity + specificity −1), directly measures the largest total diagnostic accuracy a biomarker can achieve. Therefore, it is desirable to estimate the optimal cut-off point associated with the Youden index. Sometimes, taking the actual measurements of a biomarker is …

“Don’T Shoot The Unicorn!” Finding Transformative Happiness And Resilience Through Developing Your “Anditude”!, M. Bruce Garris, Gary W. Mauk

National Youth Advocacy and Resilience Conference

As a care provider and leader in your community, you understand the challenge of keeping your own resilience high, and maintaining an attitude of hope. This transformational, uplifting program will equip you to develop the skill of happiness, empowering you to lead youths by demonstrating positive approaches in your own life, and impacting them with “Infectious Resilience” as they learn to adopt your Anditude!

A Test Of Symmetry Based On The Kernel Kullback-Leibler Information With Application To Base Deficit Data, Hani M. Samawi, Robert L. Vogel

Biostatistics Faculty Publications

The assumption of the symmetry of the underlying distribution is important to many statistical inference and modeling procedures. This paper provides a test of symmetry using kernel density estimation and the Kullback-Leibler information. Based on simulation studies, the new test procedure outperforms other tests of symmetry found in the literature, including the Runs Test of Symmetry. We illustrate our new procedure using real data.