Now showing items 1-10 of 13
Modelling CD4+ count over time in HIV positive patients initiated on HAART in South Africa using linear mixed models.
HIV is among the highly infectious and pathogenic diseases with a high mortality rate. The spread of HIV is in uenced by several individual based epidemiological factors such as age, gender, mobility, sexual partner pro ...
Factors affecting the health status of the people of Lesotho.
Lesotho, like any other country of the world, is faced with the task of improving the
Estimating risk determinants of HIV and TB in South Africa.
Where HIV/AIDS has had its greatest adverse impact is on TB. People with TB that are infected with HIV are at increased risk of dying from TB than HIV. TB is the leading cause of death in HIV individuals in South Africa. ...
Modelling acute HIV infection using longitudinally measured biomarker data including informative drop-out.
Background. Numerous methods have been developed to model longitudinal data. In HIV/AIDS studies, HIV markers, CD4+ count and viral load are measured over time. Informative drop-out and the lower detection limit of viral ...
Inference from finite population sampling : a unified approach.
In this thesis, we have considered the inference aspects of sampling from a finite population. There are significant differences between traditional statistical inference and finite population sampling inference. In the ...
Modeling environmental factors affecting the growth of eucalypt clones.
Tree growth is influenced by environment and genetic factors. The same tree growing in different areas will have different growth patterns. Trees with different genetic material, e.g. pine and Eucalyptus trees, growing ...
Analysis of time-to-event data including frailty modeling.
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 ...
Applications of Levy processes in finance.
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, ...
Time series modelling with application to South African inflation data
The research is based on financial time series modelling with special application
Nonlinear models for neural networks.
The most commonly used applications of hidden-layer feed forward neural networks are to fit curves to regression data or to provide a surface from which a classification rule can be found. From a statistical viewpoint, the ...