Browsing Doctoral Degrees (Statistics) by Title
Now showing items 5-24 of 32
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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 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 ... -
Bayesian spatial models with application to HIV, TB and STI modeling in Kenya.
(2014)This dissertation is concerned with developing and extending statistical models in the area of spatial modeling with particular interest towards application to HIV, TB and HSV-2 data. Hierarchical spatial modeling is a ... -
Combining dynamic factor models and artificial neural networks in time series forecasting with applications.
(2014)This study investigates and examines the advantages and forecasting performance of combining the dynamic factor model (DFM) and artificial neural networks (ANNs) leading to new novel models that have capabilities to produce ... -
Comparative approaches to handling missing data, with particular focus on multiple imputation for both cross-sectional and longitudinal models.
(2012)Much data-based research are characterized by the unavoidable problem of incompleteness as a result of missing or erroneous values. This thesis discusses some of the various strategies and basic issues in statistical ... -
Covariates and latents in growth modelling.
(2014)The growth curve models are the natural models for the increment processes taking place gradually over time. When individuals are observed over time it is often apparent that they grow at different rates, even though ... -
D-optimal designs for drug synergy.
(2009)This thesis is fo cused on the construction of optimal designs for detecting drug interaction using the two-variable binary logistic mo del. Two sp eci c mo dels are considered: (1) the binary two-variable logistic mo del ... -
Flexible statistical modelling in food insecurity risk assessment.
(2015)Food insecurity has remained a persistent problem in Sub-Saharan Africa. Conflict and other protracted crisis have rendered a significant proportion of Africa’s populations to suffer the risk of food insecurity, as their ... -
A frequentist and a Bayesian approach to estimating HIV prevalence accounting for non-response using population-based survey data.
(2016)Enhanced and novel frequentist and Bayesian approaches to estimating disease measures such as HIV prevalence utilizing the recent advances in statistical computing software are explored and applied making use of ... -
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 ... -
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 ... -
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 ... -
Nonlinear mixed-effects models for multi-variate longitudinal data with application to HIV disease dynamics.
(2014)The motivation for the study of nonlinear mixed-effects models is due to the growing interest in the estimation of parameters in HIV disease dynamical models using real multivariate longitudinal data with varying degrees ... -
Numerical study of convective fluid flow in porous and non-porous media.
(2015)Abstract available in PDF file. -
On the geometry of locally conformal almost cosymplectic manifolds and 2-order Lagrange space.
(2017)Abstract available in pdf. -
A perspective on incomplete data in longitudinal multi-arm clinical trials, with emphasis on pattern-mixture-model based methodology.
(2014)Missing data are common in longitudinal clinical trials. Rubin described three different missing data mechanisms based on the level of dependence between the missing data process and the measurement process. These are ... -
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 ... -
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 ...