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Bayesian Neural Networks for Actuarial Mortality Modelling
Published 2026Get full text
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A comparative analysis of the infuence of contraceptive use and fertility desire on the duration of second birth interval in four sub-Saharan African countries
Published 2021ArticleFull Text AvailableAccess Repository -
The effect of a health promotion intervention on foundation phase learners' physical fitness
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Employee preferences as a significant influence on reward mix determination
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The relationship between the race of a celebrity endorser and consumer purchase behaviour in multi-racial societies
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Joint models for nonlinear longitudinal profiles in the presence of informative censoring
Published 2019“…The gametocyte data collected in this study was initially analyzed using standard survival modeling techniques. Non-parametric Cox regression models and parametric survival models were applied to the data as part of this initial investigation. …”
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Corporate Governance and Firm Efficiency in The Long-Term Insurance Market in South Africa
Published 2018“…The findings indicate that long-term insurers in South Africa operated at approximately 21% of their optimal capacity which suggests high levels of inefficiency in the provision of life insurance services. …”
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Maternal and neonatal outcomes of women with CHD in pregnancy
Published 2024“…Data were collected using REDCap, and statistical analyses included descriptive statistics, non-parametric tests, and logistic regressions to assess associations. …”
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Creating a policy framework for growing the middle class : the case of the City of Johannesburg Metropolitan Municipality
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Proteomic investigation of blood-based biomarkers for the diagnosis of HIV-associated neurocognitive disorders
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Development of high efficiency high speed permanent magnet generator
Published 2020“…A steady state analysis was also carried out at motor maximum power output to determine its safe operation with the objective of finding an optimal operating condition by performing a parametric study on the effect of cooling. …”
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Towards a framework for multi class statistical modelling of shape, intensity, and kinematics in medical images
Published 2021“…First, a robust registration method for multi-volumetric shapes is described. Both sampling and parametric based registration algorithms are proposed, which allow the establishment of dense correspondence across volumetric shapes (such as tetrahedral meshes) while preserving the spatial relationship between them. …”
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Towards a framework for multi class statistical modelling of shape, intensity and kinematics in medical images
Published 2022“…First, a robust registration method for multi-volumetric shapes is described. Both sampling and parametric based registration algorithms are proposed, which allow the establishment of dense correspondence across volumetric shapes (such as tetrahedral meshes) while preserving the spatial relationship between them. …”
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Exploratory data analysis and empirical modelling of stationary processes by use of genetic programming
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Performance and thermo-mechanical cost evaluation of API 661 air-cooled heat exchangers
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Integration of multi-omic data and neuroimaging characteristics in studying brain related diseases
Published 2021“…In doing so, we adopted two longitudinal study designs and modelled the association between Alzheimer's disease progression and genetic factors, utilising local and global brain connectivity networks. …”
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