Browsing Statistics by Type "Thesis"
Now showing items 1-20 of 119
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Adjusting the effect of integrating antiretroviral therapy and tuberculosis treatment on mortality for non-compliance : an instrumental variables analysis using a time-varying exposure.
(2018)In South Africa and elsewhere, research has shown that the integration of antiretroviral therapy (ART) and tuberculosis (TB) treatment saves lives. The randomised controlled trials (RCTs) which provided this compelling ... -
Age, period and cohort analysis of young adult mortality due to HIV and TB in South Africa: 1997-2015.
(2019)Young adult mortality is very important in South Africa with the impact of Human Immunodeficiency Virus /Acquired Immune deficiency Syndrome (HIV/AIDS), Tuberculosis (TB), injuries and emerging non-communicable diseases ... -
Analysis of a binary response : an application to entrepreneurship success in South Sudan.
(2012)Just over half (50:6%) of the population of South Sudan lives on less than one US Dollar a day. Three quarters of the population live below the poverty line (NBS, Poverty Report, 2010). Generally, effective government ... -
Analysis of longitudinal binary data : an application to a disease process.
(2008)The analysis of longitudinal binary data can be undertaken using any of the three families of models namely, marginal, random effects and conditional models. Each family of models has its own respective merits and demerits. ... -
Analysis of time-to-event data including frailty modeling.
(2006)There are several methods of analysing time-to-event data. These include nonparametric approaches such as Kaplan-Meier estimation and parametric approaches such as regression modeling. Parametric regression modeling ... -
The application of classification techniques in modelling credit risk.
(2014)The aim of this dissertation is to examine the use of classification techniques to model credit risk through a practice known as credit scoring. In particular, the focus is on one parametric class of classification techniques ... -
Application of mixed model and spatial analysis methods in multi-environmental and agricultural field trials.
(2015)Agricultural experimentation involves selection of experimental materials, selection of experimental units, planning of experiments, and collection of relevant information, analysis and interpretation of the results. An ... -
The application of multistate Markov models to HIV disease progression.
(2011)Survival analysis is a well developed area which explores time to single event analysis. In some cases, however, such methods may not adequately capture the disease process as the disease progression may involve ... -
Application of statistical multivariate techniques to wood quality data.
(2010)Sappi is one of the leading producer and supplier of Eucalyptus pulp to the world market. It is also a great contributor to South Africa economy in terms of employment opportunity to the rural people through its large ... -
Application of survival analysis methods to study under-five child mortality in Uganda.
(2013)Infant and child mortality rates are one of the health indicators in a given community or country. It is the fourth millennium development goal that by 2015, all the united nations member countries are expected to have ... -
Applications of Levy processes in finance.
(2009)The option pricing theory set forth by Black and Scholes assumes that the underlying asset can be modeled by Geometric Brownian motion, with the Brownian motion being the driving force of uncertainty. Recent empirical studies, ... -
Aspects of categorical data analysis.
(1998)The purpose of this study is to investigate and understand data which are grouped into categories. At the onset, the study presents a review of early research contributions and controversies surrounding categorical data ... -
An assessment of modified systematic sampling designs in the presence of linear trend.
(2017)Sampling is used to estimate population parameters, as it is usually impossible to study a whole population, due to time and budget restrictions. There are various sampling designs to address this issue and this thesis ... -
Bayesian data augmentation using MCMC: application to missing values imputation on cancer medication data.
(2017)Missing data is a very serious issue that negatively affect inferences and findings of researchers in data science and statistics. The ignorance of missing data or deletion of cases that contain missing observations may ... -
Bayesian generalized linear mixed modeling of breast cancer data in Nigeria.
(2017)Breast cancer is the world’s most prevalent type of cancer among women. Statistics indicate that breast cancer alone accounted for 37% out of all the cases of cancer diagnosed in Nigeria in 2012. Data used in this study ... -
Bayesian hierarchical spatial and spatio-temporal modeling and mapping of tuberculosis in Kenya.
(2013)Global spread of infectious disease threatens the well-being of human, domestic, and wildlife health. A proper understanding of global distribution of these diseases is an important part of disease management and policy ... -
Bayesian modelling of non–gaussian time series of serve acute respiratory illness.
(2019)Respiratory syncytial virus (RSV), Human metapneumovirus (HMPV) and Influenza are some of the major causes of acute lower respiratory tract infections (ALRTI) in children. Children younger than 1 year are the most ... -
Bayesian spatial joint and spatial-temporal disease modeling with application to HIV, HSV-2 and Malaria using case studies from Kenya and Angola respectively.
(2017)In this thesis we develop and extend existing statistical models for spatial disease modeling and apply them to HIV, HSV-2 and malaria data. The availability of geo-referenced data and free software has seen many disease ... -
Bayesian spatial modeling of malnutrition and mortality among under-five children in sub-Saharan Africa.
(2019)The aim of this thesis is to develop and extend Bayesian statistical models in the area of spatial modeling and apply them to child health outcomes, with particular focus on childhood malnutrition and mortality among ...