Masters Degrees (Statistics)
Recent Submissions
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Meta-analysis of time to seizure relapse after a post-operative epilepsy surgery.
(2020)Epilepsy is a common disease world-wide whose suggested treatment vary from surgical to non-surgical. Although surgical treatments may be commonly recommended and successful in pharmacoresistant epilepsy for patients ... -
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 ... -
Meta-analysis with application to estimating combined estimators of effect sizes in biomedical research.
(2018)Meta-analysis is a statistical analysis that combines results from different independent studies. In meta-analysis a number of statistical methods are currently used for combining effect sizes of different studies. The ... -
Spatial and spatio-temporal modeling and mapping of self-reported health among individuals between the ages of 15-49 years in South Africa.
(2019)Self-reported health has been commonly used as a measure of individuals health in public health studies. Health presents a complete physical, emotional, and social well-being. It also plays an important role in the ... -
Statistical models to study the BMI of under five children in Ethopia.
(2018)Maternal and child malnutrition has long and short-term consequences on the health status of the people and on the country’s economy. It is among the major public health problems in Ethiopia. Worldwide, maternal and child ... -
A comparison of cancer classification methods based on microarray data.
(2018)Cancer is among the leading causes of death in both developed and developing countries. Through gene expression profiling of tumors, the accuracy of cancer classification has been enhanced, leading to correct diagnoses ... -
Count data modelling application.
(2019)The rapid increase of total children ever born without a proportionate growth in the Nigerian economy has been a concern and making prediction with count data requires applying appropriate regression model.. As count data ... -
The impact of semen exposure on cytokine response and bacterial vaginosis in the female genital tract.
(2018)Background: Diverse microbial communities and inflammatory cytokine responses in the lower female genital tract (FGT) are closely associated with increased human immunodeficiency virus (HIV-1) risk, possibly through ... -
Modelling CD4 count and Mortality in a cohort of patients initiated on HAART.
(2018)Longitudinally measured data and time-to-event or survival data are often associated in some ways, and are traditionally analyzed separately (Asar et al., 2015). However, separate analyses are not applicable in this case ... -
Investigating the spatial distribution of diabetes in Africa using both classical and Bayesian approaches.
(2017)Abstract available in PDF file. -
Statistical modelling and spatial mapping of crime in South Africa.
(2016)This research investigates factors related to crime rates for the 2013/2014 South African Crime Survey. The survey provides personal information and crime related experiences for all members of the 25 605 households that ... -
Zero-inflated regression models with application to water quality data from Umgeni Water.
(2017)Abstract available in PDF file. -
Time series analyses of microbiological counts associated with treated water quality data from Umgeni Water.
(2017)Abstract available in PDF file. -
Hierarchical multiple linear regression : a comparative analysis of classical and Bayesian approach.
(2017)Low birth weight is a problem in Africa due to its contribution to high infant mortality. Most studies on low birth weight have neglected the use of Bayesian methods in analysis of medical data. This study aims to investigate ... -
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 ... -
Modelling South Africa's market risk using the APARCH model and heavy-tailed distributions.
(2016)Estimating Value-at-risk (VaR) of stock returns, especially from emerging economies has recently attracted attention of both academics and risk managers. This is mainly because stock returns are relatively more volatile ... -
Sexual debut: an analysis of the birth to twenty data.
(2015)According to the literature, it is widely accepted that the early timing of first sex among adolescents is related to long-term health effects and current and future risky sexual behaviour (Sandfort et al., 2008). Despite ... -
Modeling financial data using the multivariate generalized hyperbolic distribution and copula.
(2015)Financial data usually possess some characteristics, such as volatility clustering, asymmetry, heavy and semi-heavy tails thus, making it difficult, if not impossible, to use Normal distribution to model them. Statistical ... -
Modelling obesity risk factors among adult females in South Africa via a GLMM: classical and bayesian approaches.
(2016)Abstract available in PDF file. -
Multivariate elliptically contoured stable distributions with applications to BRICS financial data.
(2016)Brazil, Russia, India, China and South Africa (BRICS) are regarded as the ve major emerging economies where all members are a part of a select group of developing industrialized countries. In the nancial industry, ...
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