Duah Dwomoh
Professor of Biostatistics, University of Ghana, School of Public Health

I am a Biostatistician, Infectious Disease Modeller, Epidemiologist, Public Health practitioner, and Monitoring and Evaluation expert with more than ten years of practical experience in teaching and conducting health and social science research published in over 70 publications in peer-reviewed journals.

I obtained a Ph.D. in Public Health with specialization in Biostatistics from the University of Ghana, a Master of Philosophy in Mathematics with specialization in Statistics from Kwame Nkrumah University of Science and Technology, and a BSc in Mathematics and Statistics (First Class Honours) from the University of Cape Coast, Ghana. I am a Professor at the University of Ghana, School of Public Health, Department of Biostatistics. I have expertise in quantitative techniques for impact evaluation of health and social interventions/programs/policies using the difference in differences analytic methods, matching procedures, regression discontinuity, instrumental variables, randomized designs, endogenous regime-switching regression models, interrupted time series, endogenous treatment regression models, double robust methods, treatment effect estimate using Least Absolute Shrinkage and Selection Operator, and synthetic control methods, process/formative evaluations and needs assessment.

I develop the framework for project monitoring and evaluation, for example, formative/process evaluation, situational analysis, needs assessment, mid-term project review, impact assessment of interventions, and develop a project performance monitoring plan with relevant data collection systems including a review of the quality of existing data in the project areas, the data collection techniques, and the quantifying the extent to which it will provide good baseline statistics for impact evaluation of the outcome measures. I am a proficient programmer in Stata, SPSS Epi-Info, Epicollect, and R. I have tremendous data management skills, including exporting and merging large complex survey datasets from multiple sources and the ability to implement quality assurance protocols.

My area of specialization as a Biostatistician includes the design, implementation, and analysis of complex survey data that adjust for survey design characteristics (weighting, clustering, and stratification), design and implementation of randomized control trials, quasi-experimental and observational (cross-sectional) studies, data science, risk prediction modeling, time series analysis, Generalized Linear Models, and analysis of survival or time-to-event outcomes.

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