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Gilbert Anyowuo Okyere
The researcher's work is centered around the innovative application of advanced analytical techniques across diverse domains. By integrating methodologies such as meta-analysis, forecasting, statistical models, and computational approaches, the researcher has developed a comprehensive framework for understanding complex phenomena in health, economics, social sciences, and education. This approach emphasizes the use of data science and statistics to address challenges in areas like disease control, economic growth, and educational strategies, thereby bridging the gap between interdisciplinary research across various fields.
Advanced Statistical Methods and Models
Banking stability, regulation, efficiency
Bayesian Methods and Mixture Models
Child Nutrition and Water Access
Chronic Disease Management Strategies
Complex Systems and Time Series Analysis
COVID-19 epidemiological studies
Credit Risk and Financial Regulations
Crime Patterns and Interventions
Digital Imaging for Blood Diseases
Economic theories and models
Educational Research and Pedagogy
Educational Technology and Assessment
Forecasting Techniques and Applications
Global trade and economics
Heat Transfer and Numerical Methods
HIV/AIDS Research and Interventions
Insurance, Mortality, Demography, Risk Management
International Business and FDI
Malaria Research and Control
Mathematical and Theoretical Epidemiology and Ecology Models
Meta-analysis and systematic reviews
Online and Blended Learning
Problem and Project Based Learning
Quantum Chromodynamics and Particle Interactions
Statistical Methods and Inference
Statistical Methods in Clinical Trials
Stochastic processes and financial applications
Sustainable Supply Chain Management
Topological and Geometric Data Analysis
Department of Human Resource and Organisational Development
Kwame Nkrumah University of Science and Technology