The objective of this research is to compare potency estimation between the traditional regression approach and bioequivalence testing. Aquatic toxicity testing determines which level a chemical becomes harmful to the aquatic species. My comparison is conducted through simulation of a data set to generate p-values to indicate whether or not each test finds evidence of […]
B02: Improving Predictive Power with Pre-Tuned Principal Component Regression: A Case Study
Linear regression is a commonly used approach to discovering associations between variables in various fields. Least squares method is a prominent approach to estimating unknown regression coefficients, with ordinary least square (OLS) estimates being the best linear unbiased estimate (BLUE). The existence of the inverse of the gram matrix in OLS is essential for obtaining […]
C53: Reanalyzing Korean Genome-wide Association Studies Using a Next -Generation Asian Reference Panel
Genome-wide association studies (GWAS) aim to collect large samples of human genomes from all over the world and study genetic variants or genes associated with human diseases. Since the first GWAS in 2005, it has been quite successful in identifying genetic variants or genes responsible for various complex disorders such as autism, schizophrenia, and diabetes, […]
C54: Estimating Confidence Intervals for Risk Measures in Pareto Tails
Our general research area is focused on determining the two-sided interval estimators for risk measures in modeling loss data. In this case, we are looking at the conditional tail expectation (CTE) for Pareto tails (specifically Pareto I and Pareto II). We use the Delta Method to compute the confidence intervals, and compare the performance with […]
B24: Public Obesity Database In R package
The motivation for this project is to build an R package that outputs necessary data frames relevant to obesity costs, where the clients could easily manipulate the output using difference parameters, e.g. relative risks for each illnesses. This is in conjunction with another research project that estimated the state-level economic costs of obesity in the […]
B25: Modeling the Economic Cost of Obesity Risk and its Impact on Excess Mortality and Morbidity in the United States
Understanding the economic cost of obesity risk represents an important aspect of prevention and management of the obesity pandemic. Thus, assessing the economic impact of obesity on society is increasingly important. Prior studies about obesity-related costs in the United States focused more on the national-level direct and indirect costs that evolved over a short time […]
C06: Interactive Data Visualization of the COVID-19 Pandemic and Vaccination Patterns in Ohio
Background: The Covid-19 pandemic is a public health crisis affecting the United States since early 2020, and specifically affecting Ohio since March 2020. Over the course of the past 2 years, the number of cases, deaths, and hospitalizations has fluctuated depending on the different Covid-19 variants, vaccinations, and government mandates. Using publicly available Covid-19 data […]
C24: An Analysis on the Impact of Socioeconomic Status on Success in School
According to educational historian David Labaree, there are three goals that the public school system strives to achieve: democratic equality, social efficiency, and social mobility. In essence, a public education is supposed to give children equal opportunities for success in life, regardless of their socioeconomic status. In this study we will look at how effective […]
C50: Clustering Regions with Dynamic Time Warping to Model Obesity Prevalence Disparities in the United States
In 2017, the World Health Organization recognized obesity as an epidemic and an important public health issue; thus, our goal was to look at obesity prevalence trends in the United States over time to understand how it may progress in the future. In this article, obesity prevalence was computed using data published by the Centers […]
C26-P: The Coronavirus Pandemic and its Impact on the Insurance Industry
This project was focused on estimating the overall economic impact of the COVID-19 pandemic on the insurance industry and related fields. It is particularly relevant with respect to the new rollout of vaccines and large-scale infrastructure of prevention for the disease. The study primarily used a prevalence-based approach to determine the impact on a number […]