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...
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...
Recent advances in high throughput methodologies offer researchers the ability to understand complex systems via high dimensional and multi-relational data. One example is the realm of molecular biology where disparate data (such as gene sequence,...
In this dissertation research, we aim to solve problems of two types of survival data, clustered survival data with potentially informative cluster size and sojourn time data. The methods for these two types of data are different. However, both...
In recent years, a number of computational and statistical problems for identifying SNP-SNP interactions in high dimensional survival data have been studied, and several data mining approaches have been proposed. However, the relative performance...
Alternatives to imprisonment--Kentucky--Jefferson County; Juvenile corrections--Kentucky--Jefferson County
Since the beginning of the juvenile justice movement in the United States over a century ago, considerable debate has persisted among policymakers and practitioners concerning the causes of juvenile offending and the appropriate responses to...
Data Classification is a task that could be found in many life activities. In general, the term could be used for any activity that derives some decision or forecast based on the currently available information. Using a more accurate definition, a...
Graft rejection; Diagnostic imaging; Postoperative care
The fourth hand transplant recipient in Louisville lost his graft at nine months post transplant from ischemia due to severe graft arteriopathy. Conventional imaging techniques and clinical measurements, including CT angiography and measurements of...
Missing data is very common in survey research. However, currently few guidelines exist with regard to the diagnosis and remedy to missing data in survey research. The goal of this thesis was to investigate properties and effects of three selected...
Pituitary tumor transforming gene ( PTTG ), also known as securing, is a novel oncogene that is expressed at high levels in most of the tumors analyzed to date. Overexpression of PTTG in mouse fibroblast(NIH 3T3) cells increases cell proliferation,...
The complexity of high-dimensional data creates a number of concerns when trying to analyze it. This data often consists of a response or survival time and potentially thousands of predictors. These predictors can be highly correlated, and the...
Data mining; Lungs--Cancer; Outcome assessment (Medical care)
Lung cancer is the leading cause of cancer death in the United States and the world, with more than 1.3 million deaths worldwide per year. However, because of a lack of effective tools to diagnose Lung Cancer, more than half of all cases are...
Prostate cancer (PCA) development may be influenced by genetic variations within oxidative stress response (OSR) related mechanisms, such as antioxidation (e.g.,
carcinogen metabolism/detoxification), DNA repair, and apoptotic regulation. Excessive...
Tobacco smoke is a strong and independent risk factor for several chronic systemic diseases and also increases susceptibility to a multitude of bacterial infections, including periodontal infections. Periodontitis is a chronic inflammatory disease...
Medical records--Data processing; Data mining; Medical care--Data processing; Coronary heart disease--Treatment
The goal of this study is to use a data mining framework to assess the three main treatments for acute myocardial infarction: thrombolytic therapy, percutaneous coronary intervention (percutaneous angioplasty), and coronary artery bypass surgery....
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....
Autistic children--Education; Mainstreaming in education; Teachers--Attitudes; Inclusive education
The purpose of this research study was to examine the relationship between the
attitudes of public school teachers and the inclusion of students with autism in the general
education classroom highlighting individual teacher characteristics that...
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...
School-based management--Kentucky; Decision making
Shortly after the implementation of Kentucky's school-based decision-making councils, it became obvious that minorities were severely underrepresented on these councils. As a result, the Kentucky legislature enacted Section 160.352(3)(f) by which...
Heart--Diseases--Patients--Rehabilitation; Data mining
The purpose of this paper is to examine the process of text mining and using the results to show the possible benefits of cardiopulmonary rehabilitation. The 555 patients enrolled in the study were receiving inpatient cardiopulmonary...
