Browsing Statistics by Title
Now showing items 48-67 of 119
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Likelihood based statistical methods for estimating HIV incidence rate.
(2013)Estimation of current levels of human immunodeficiency virus (HIV) incidence is essential for monitoring the impact of an epidemic, determining public health priorities, assessing the impact of interventions and for ... -
Linear model diagnostics and measurement error
(2010-09-07)The general linear model, the weighted linear model, and the generalized linear model are presented in detail. Diagnostic tools for the linear models are considered. In general the standard analysis for linear models does ... -
Longitudinal analysis of the effect of climatic factors on the wood anatomy of two eucalypt clones
(2010)Eucalypt trees are one of tree species used for the manufacturing of papers in South Africa. The manufacturing of paper consists of cooking the wood with chemicals until obtaining a pulp. The wood is made of different ... -
Longitudinal analysis of the effect of climatic factors on the wood anatomy of two eucalypt clones.
(2010)Eucalypt trees are one of tree species used for the manufacturing of papers in South Africa. The manufacturing of paper consists of cooking the wood with chemicals until obtaining a pulp. The wood is made of different ... -
Longitudinal survey data analysis.
(2006)To investigate the effect of environmental pollution on the health of children in the Durban South Industrial Basin (DSIB) due to its proximity to industrial activities, 233 children from five primary schools were considered. ... -
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 ... -
Mean-square fractional calculus and some applications.
(2012)The fractional calculus of deterministic functions is well known and widely used. Mean-square calculus is a calculus that is suitable for use when dealing with second-order stochastic processes. In this dissertation we ... -
Measuring poverty and child malnutrition with their determinants from household survey data.
(2016)The eradication of poverty and malnutrition is the main objective of most societies and policy makers. But in most cases, developing a perfect or accurate poverty and malnutrition assessment tool to target the poor ... -
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 ... -
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 ... -
Modeling environmental factors affecting the growth of eucalypt clones.
(2009)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 ... -
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 ... -
Modeling the factors affecting cereal crop yields in the Amhara National Regional State of Ethiopia.
(2010)The agriculture sector in Amhara National Regional State is characterised by producing cereal crops which occupy the largest percentage (84.3%) of the total crop area cultivated in the region. As a result, it is imperative ... -
Modeling the smoking status of Kenya's males in the presence of missing data.
(2014)The current research, modeling smoking status in Kenya's males in the presence of missing data has three objectives: The first objective of this study is to identify factors, associated with smoking which will lead to ... -
Modelling a cluster randomised controlled trial to evaluate the impact of a cash incentivised prevention intervention to reduce teenage pregnancy among high school learners in rural KwaZulu-Natal, South Africa.
(2013)A third of adolescent girls fall pregnant before the age of 20 in South Africa, and this happens despite contraceptives and condoms being free and mostly accessi- ble. This thesis aims to evaluate the impact of a cash ... -
Modelling acute HIV infection using longitudinally measured biomarker data including informative drop-out.
(2009)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 ... -
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 ... -
Modelling CD4+ count over time in HIV positive patients initiated on HAART in South Africa using linear mixed models.
(2009)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 ... -
Modelling longitudinal binary disease outcome data including the effect of covariates and extra variability.
(2011)The current work deals with modelling longitudinal or repeated non-Gaussian measurements for a respiratory disease. The analysis of longitudinal data for non-Gaussian binary disease outcome data can broadly be modeled ... -
Modelling longitudinal counts data with application to recurrent epileptic seizure events.
(2010)The objectives of this thesis is to explore different approaches of modelling clustered correlated data in the form of repeated or longitudinal counts data leading to a replicated Poisson process. The specific application ...