Doctoral Degrees (Statistics)
Recent Submissions
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Appraising South African residential property and measuring price developments.
(2022)Housing wealth is well established as one of the most important sources of wealth for households and investors. However, owning a home is a fundamental human need, making monitoring residential property prices a social ... -
Longitudinal clinical covariates influence on CD4+ cell count after seroconversion.
(2019)The Acquired Immunodeficiency Syndrome (AIDS) pandemic is a global challenge. The human immunodeficiency virus (HIV) is notoriously known for weakening the immune system and opening channels for opportunistic infections. ... -
Statistical methods for causal inference in observational studies.
(2020)Estimating causal effects is essential in the evaluation of a treatment or intervention. It is particularly straightforward for well-designed experiments. However, when the treatment assignment is complicated by confounders, ... -
Statistical Modeling of Acute HIV Infection from a Cohort of High-risk Individuals in South Africa. Ukufakwa kwamamodeli Ezibalomininingo Ekuthelelekeni Kwesikhashana nge-HIV Eqoqweni labantu Abasengcupheni Enkulu eNingizimu Afrika.
(2022)In this dissertation, longitudinal data modeling approaches to analyze data on CD4 cell counts measured repeatedly in HIV-infected patients enrolled in the Centre for the AIDS Programme of Research in South Africa are ... -
Statistical and deep learning methods for cancer genomic data.Izindlela zokufunda ezijulile zezibalomidanti zemininingo yeqoqozinhlayiyafuzo lomdlavuza.
(2021)Statistical and machine learning methods have been applied in broad domains including the medical field. These methods have a massive impact on healthcare by providing the support for decision making to the specialist ... -
Joint predictors of preterm birth and perinatal death among singleton births at a zonal referral hospital in northern Tanzania: a birth registry based study from 2000 to 2017.
(2021)Background: Globally, preterm birth (births before 37 completed weeks of gestational) contributes to under-five and newborn deaths. Tanzania ranks the tenth country with the highest preterm birth rates globally and shares ... -
Some statistical methods in analysis of single and multiple events with application to infant mortality data.
(2020)The time to event analysis or survival analysis aims at making inferences on the time elapsed between the recruitment of subjects or the onset of observations, until the occurrence of some event of interest. Methods used ... -
Integrating artificial neural networks, simulation and optimisation techniques in improving public emergency ambulance preparedness for heterogeneous regions under stochastic environments.
(2021)The Bulawayo Emergency Medical Services (BEMS) department continues to rely on judgemental methods with limited use of historical data for future predictions, strategic, tactical and operational level decision making. ... -
Co-morbidity of childhood anaemia and malaria with a district-level spatial effect.
(2021)Anaemia and malaria are the leading causes of sub-Saharan African childhood morbidity and mortality. This thesis aimed to explore the risk factors as well as the complex relationship between anaemia and malaria in young ... -
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 ... -
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 ... -
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 ... -
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 ... -
On the geometry of locally conformal almost cosymplectic manifolds and 2-order Lagrange space.
(2017)Abstract available in pdf. -
A statistical analysis of dissolving timber pulp properties using linear mixed models.
(2017)The main focus of the study was to understand the behaviour of seven timber genotypes based on seven chemical properties observed during the chemical pulping process with the prime objective of developing methods of grouping ... -
Statistical approaches for handling longitudinal and cross sectional discrete data with missing values focusing on multiple imputation and probability weighting.
(2018)Abstract available in PDF file. -
Special topics in probabilistic exchangeability and its applications.
(2017)This thesis evolves around a probabilistic concept called exchangeability and its generalised forms. It is aimed at exploring connections between exchangeability and other sub-areas in mathematical statistics. These ... -
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 ... -
The management of missing categorical data : comparison of multiple imputation and subset correspondence analysis.
(2015)Missing data is a common problem in research and the manner in which this ‘missingness’ is managed, is crucial to the validity of analysis outcomes. This study illustrates the use of two diverse methods to handle, in ... -
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 ...
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