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Articles 1 - 7 of 7
Full-Text Articles in Physical Sciences and Mathematics
Statistical Modeling And Prediction Of Hiv/Aids Prognosis: Bayesian Analyses Of Nonlinear Dynamic Mixtures, Xiaosun Lu
Statistical Modeling And Prediction Of Hiv/Aids Prognosis: Bayesian Analyses Of Nonlinear Dynamic Mixtures, Xiaosun Lu
USF Tampa Graduate Theses and Dissertations
Statistical analyses and modeling have contributed greatly to our understanding of the pathogenesis of HIV-1 infection; they also provide guidance for the treatment of AIDS patients and evaluation of antiretroviral (ARV) therapies. Various statistical methods, nonlinear mixed-effects models in particular, have been applied to model the CD4 and viral load trajectories. A common assumption in these methods is all patients come from a homogeneous population following one mean trajectories. This assumption unfortunately obscures important characteristic difference between subgroups of patients whose response to treatment and whose disease trajectories are biologically different. It also may lack the robustness against population heterogeneity …
An Evaluation Of Florida Gulf Coast University's Residence Life Staff Member's Hurricane Preparedness, Erin Floto
An Evaluation Of Florida Gulf Coast University's Residence Life Staff Member's Hurricane Preparedness, Erin Floto
USF Tampa Graduate Theses and Dissertations
Florida Gulf Coast University (FGCU) is located along the coast of the Gulf of Mexico in southern Florida, in an area vulnerable to hurricane strikes. At FGCU, The Office of Housing and Residence Life (OHRL) is responsible for three locations on- and off-campus where students reside in apartment or suite-style housing. Due to the large number of students with varying backgrounds, the OHRL staff members have become essential personnel during severe weather events that may cause safety concerns for the residents living in OHRL housing locations. This study's purpose is to assess the Residence Life staff on their level of …
Stochastic Modeling And Analysis Of Energy Commodity Spot Price Processes, Olusegun Michael Otunuga
Stochastic Modeling And Analysis Of Energy Commodity Spot Price Processes, Olusegun Michael Otunuga
USF Tampa Graduate Theses and Dissertations
Supply and demand in the World oil market are balanced through responses to price movement with considerable complexity in the evolution of underlying supply-demand
expectation process. In order to be able to understand the price balancing process, it is important to know the economic forces and the behavior of energy commodity spot price processes. The relationship between the different energy sources and its utility together with uncertainty also play a role in many important energy issues.
The qualitative and quantitative behavior of energy commodities in which the trend in price of one commodity coincides with the trend in price of …
Trend Analysis And Modeling Of Health And Environmental Data: Joinpoint And Functional Approach, Ram C. Kafle
Trend Analysis And Modeling Of Health And Environmental Data: Joinpoint And Functional Approach, Ram C. Kafle
USF Tampa Graduate Theses and Dissertations
The present study is divided into two parts: the first is on developing the statistical analysis and modeling of mortality (or incidence) trends using Bayesian joinpoint regression and the second is on fitting differential equations from time series data to derive the rate of change of carbon dioxide in the atmosphere.
Joinpoint regression model identifies significant changes in the trends of the incidence, mortality, and survival of a specific disease in a given population. Bayesian approach of joinpoint regression is widely used in modeling statistical data to identify the points in the trend where the significant changes occur. The purpose …
Statistical Analysis, Modeling, And Algorithms For Pharmaceutical And Cancer Systems, Bong-Jin Choi
Statistical Analysis, Modeling, And Algorithms For Pharmaceutical And Cancer Systems, Bong-Jin Choi
USF Tampa Graduate Theses and Dissertations
The aim of the present study is to develop a statistical algorithm and model associ- ated with breast and lung cancer patients. In this study, we developed several statistical softwares, R packages, and models using our new statistical approach.
In the present study, we used the five parameters logistic model for determining the optimal doses of a pharmaceutical drugs, including dynamic initial points, an automatic process for outlier detection and an algorithm that develops a graphic user interface(GUI) program. The developed statistical procedure assists medical scientists by reducing their time in determining the optimal dose of new drugs, and can …
Probabilistic Modeling Of Lava Flows: A Hazard Assessment For The San Francisco Volcanic Field, Arizona, Aleeza Harburger
Probabilistic Modeling Of Lava Flows: A Hazard Assessment For The San Francisco Volcanic Field, Arizona, Aleeza Harburger
USF Tampa Graduate Theses and Dissertations
This study serves as a first step towards a comprehensive hazard assessment for the San Francisco volcanic field in northern Arizona, which can be applied to local response plans and educational initiatives. The primary goal of this thesis is to resolve the conditional probability that, given a lava flow effusing from a new vent in the San Francisco volcanic field, it will inundate the city limits of Flagstaff. The spatial distribution of vents within the San Francisco volcanic field was analyzed in order to execute a lava flow simulation to determine the inundation hazard to Flagstaff. The Gaussian kernel function …
A Monte Carlo Study: The Consequences Of The Misspecification Of The Level-1 Error Structure, Merlande Petit-Bois
A Monte Carlo Study: The Consequences Of The Misspecification Of The Level-1 Error Structure, Merlande Petit-Bois
USF Tampa Graduate Theses and Dissertations
Single-case interventions allow for the repeated measurement of a case or participant across multiple time points, to assess the treatment¡͞s effect on one specific case or participant. The basic interrupted time series design includes two phases: baseline and treatment. Raudenbush and Byrk (2002) demonstrated that a meta-analysis of large group designs can be seen as a special case of multi-level analysis with participants (level-one) nested within studies (level-two). Raw data from a set of single case design studies have a similar structure. Van den Noortgate and Onghena (2003) illustrated the use of a two-level model to analyze data in primary …