Now showing items 1-10 of 32
A perspective on incomplete data in longitudinal multi-arm clinical trials, with emphasis on pattern-mixture-model based methodology.
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 ...
Bayesian spatial models with application to HIV, TB and STI modeling in Kenya.
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.
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.
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 ...
Likelihood based statistical methods for estimating HIV incidence rate.
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 ...
Statistical modelling of availability of major food cereals in Lesotho : application of regression models and diagnostics.
Oftentimes, application of regression models to analyse cereals data is limited to estimating and predicting crop production or yield. The general approach has been to fit the model without much consideration of the ...
Nonlinear mixed-effects models for multi-variate longitudinal data with application to HIV disease dynamics.
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.
Abstract available in PDF file.
Bayesian generalized linear mixed modeling of breast cancer data in Nigeria.
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 ...
Statistical methods for handling incomplete longitudinal data with emphasis on discrete outcomes with application.
In longitudinal studies, measurements are taken repeatedly over time on the same ex- perimental unit. These measurements are thus correlated. The variances in repeated measures change with respect to time. Therefore, the ...