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Articles 31 - 35 of 35
Full-Text Articles in Biostatistics
Bayesian Inference On Mixed-Effects Models With Skewed Distributions For Hiv Longitudinal Data, Ren Chen
Bayesian Inference On Mixed-Effects Models With Skewed Distributions For Hiv Longitudinal Data, Ren Chen
USF Tampa Graduate Theses and Dissertations
Statistical models have greatly improved our understanding of the pathogenesis of HIV-1 infection
and guided for the treatment of AIDS patients and evaluation of antiretroviral (ARV) therapies.
Although various statistical modeling and analysis methods have been applied for estimating the
parameters of HIV dynamics via mixed-effects models, a common assumption of distribution is
normal for random errors and random-effects. This assumption may lack the robustness against
departures from normality so may lead misleading or biased inference. Moreover, some covariates
such as CD4 cell count may be often measured with substantial errors. Bivariate clustered
(correlated) data are also commonly encountered in …
Linear Mixed-Effects Models: Applications To The Behavioral Sciences And Adolescent Community Health, Lizmarie Gabriela Maldonado
Linear Mixed-Effects Models: Applications To The Behavioral Sciences And Adolescent Community Health, Lizmarie Gabriela Maldonado
USF Tampa Graduate Theses and Dissertations
Linear mixed-effects (LME) modeling is a widely used statistical method for analyzing repeated measures or longitudinal data. Such longitudinal studies typically aim to investigate and describe the trajectory of a desired outcome. Longitudinal data have the advantage over cross-sectional data by providing more accuracy for the model. LME models allow researchers to account for random variation among individuals and between individuals.
In this project, adolescent health was chosen as a topic of research due to the many changes that occur during this crucial time period as a precursor to overall well-being in adult life. Understanding the factors that influence how …
A Novel Device For Cell-Cell Electrofusion, Justin T. Stewart
A Novel Device For Cell-Cell Electrofusion, Justin T. Stewart
USF Tampa Graduate Theses and Dissertations
Cell transplantation therapy is a potentially powerful tool and can be used to replace defective cells with healthy cells. This offers the possibility of alleviating the destructive symptoms for many diseases such as Parkinson's disease, Alzheimer's disease, stroke, spinal cord trauma, Type I diabetes and many more. While there are many diseases that could be positively impacted from cell transplantation therapy, the focus of this research is insulin dependent, Type I Diabetes.
The Islets of Langerhans are composed of various types of cells located in the pancreas and are responsible for a variety of biochemical functions. Specifically, the beta Islet …
Statistical Models For Environmental And Health Sciences, Yong Xu
Statistical Models For Environmental And Health Sciences, Yong Xu
USF Tampa Graduate Theses and Dissertations
Statistical analysis and modeling are useful for understanding the behavior of different phenomena. In this study we will focus on two areas of applications: Global warming and cancer research. Global Warming is one of the major environmental challenge people face nowadays and cancer is one of the major health problem that people need to solve.
For Global Warming, we are interest to do research on two major contributable variables: Carbon dioxide (CO2) and atmosphere temperature. We will model carbon dioxide in the atmosphere data with a system of differential equations. We will develop a differential equation for each of six …
Gender Differences In Lung Cancer Treatment And Survival, Margaret Anne Kowski
Gender Differences In Lung Cancer Treatment And Survival, Margaret Anne Kowski
USF Tampa Graduate Theses and Dissertations
The objectives of this research were to test treatment and survival differences between women and men with lung cancer as there is minimal investigation in the literature. Three research questions were developed with statistical testing for gender differences based on similar cancer type, stage, treatment assignment and survival. Data for 44,863 primary lung cancer cases were collected from eight U.S. state-based cancer registries to investigate the research questions. The lung cancer incidence data included the morphological cell-types of adenocarcinoma (AC); squamous cell carcinoma (SCC); large cell carcinoma (LCC) and small cell carcinoma (SCC). Stage, grade, treatment type, as well as, …