Ozone forecast models using nonlinear regression (NLR) have been successfully applied to daily ozone forecast for seven metro areas in Kentucky, including Ashland, Bowling Green, Covington, Lexington, Louisville, Owensboro, and Paducah. In this...
Ground-level ozone forecast models were developed for the following middle and small metropolitan areas in Kentucky: Ashland, Bowling Green, Owensboro, and Paducah. These models were nonlinear regression models, based on models previously developed...
Simplified modeling generates a great deal of interest in the area of crashworthiness analysis. Modeling methods used to create simplified computer models for crashworthiness have been well developed. In advanced simplified models, researchers...
This study focuses on the variation in structural response to synthetic ground motions derived from the latest attenuation models developed for the Central Eastern United States (CEUS) and used by the USGS to develop the latest edition (2008) of...
Preventive maintenance is a broad term that encompasses a set of activities aimed at improving the overall reliability and availability of a system. Preventive maintenance involves a basic trade-off between the costs of conducting...
Influenza--United States--Management; Epidemics--Management; Health services administration; Mathematical optimization
Pandemic influenza has been an important public health concern. During the 20th century, three major pandemics of influenza occurred in 1918, 1957, and 1968. The pandemic of 1918 caused 40 to 50 million deaths worldwide and more than 500,000 deaths...
Mixed-effects model is an efficient tool for analyzing longitudinal data. The random effects in mixed-effects model can be used to capture the correlations among repeated measurements within a subject. The time points are not fixed and all...
A common research interest in medical, biological, and engineering research is determining whether certain independent variables are correlated with the survival or failure times. Standard statistical techniques cannot usually be applied for...
Nonparametric statistics; Estimation theory; Distribution (Probability theory)
Multistate models are a type of multi-variate survival data which provide a framework for describing a complex system where individuals transition through a series of distinct states. This research focuses on nonparametric inference for general...
The topic of this dissertation is the automation of the process of extracting understandable patterns and rules from data. An unprecedented amount of data is available to anyone with a computer connected to the Internet. The disciplines of Data...
The inherited bone marrow failure syndromes (IBMFS) encompass a heterogeneous collection of rare disorders characterized by hematological abnormalities, generalized growth delays, and an increased incidence of malignant transformation. These...
Marginal inference for waiting times in multi-stage time-to-event models is complicated by right censoring of observations as well as the prior history of events in the model. In general, complications arise due to the evolution of the censoring...
For complex classification systems, data is usually gathered from multiple sources of information that have varying degree of reliability. In fact, assuming that the different sources have the same relevance in describing all the data might lead to...
Colon (Anatomy)--Cancer--Genetic aspects; Cancer cells--Mathematical models
Research over the past twenty five years has led to the development of the hypothesis that colorectal cancer is caused by the accumulation of mutations in tumor suppressor genes and proto-oncogenes. The last ten years has also revealed that the...
Alcoholic liver disease (ALD) is a serious concern for the world's population. It is one of the leading causes of death and is also a huge economic burden. The biochemical mechanisms responsible for ALD are incompletely understood, therefore there...
Inflammation is now recognized as an important factor in several age-related diseases such as arthritis, atherosclerosis, multiple sclerosis and diabetes. In each case, sub-clinical chronic inflammation occurs over years and leads to progressive...
Standard regularity assumptions for regression models are not satisfied in segmented regression models with an unknown change point, and consequently standard asymptotic results and inferential methods for confidence estimation are not applicable....
Crossover design is a type of longitudinal study with each subject receiving different treatments in different time periods. It has been used frequently in the pharmaceutical industry and other medical fields to investigate the safety and efficacy...
Blood flow--Measurement; Magnetic resonance imaging
Peripheral Arterial Disease (PAD) is a progressive atherosclerotic disorder which
is defined as any pathologic process obstructing the blood flow of the arteries supplying
the lower extremities. Moderate stenoses mayor may not be...
RNA--Analysis; Probability measures; Genetics--Research--Methodology
The present experimental designs have unique challenges in the analysis of microRNA
expression intensity levels. In this project, various Normalization techniques were
discussed with different statistical techniques and their application in an...
