Noah Mutai

Dr. Noah Mutai holds a doctorate in applied statistics from Freie University Berlin, Germany. Mutai has over 8 years of experience in teaching, research, and management experience at the University level. He has taught courses in mathematics, statistics, and statistical computing. He has also served as an examination officer at the department level.

His research interests are disaggregated prediction with application to indicators in the United Nations’ sustainable development goals (SDGs). Mutai is more interested in health and well-being indicators like poverty, inequality, and social inclusion. The goal is to obtain reliable information from data to inform policy.

He has earned research grants including the German Academic Exchange service (DAAD) scholarship, National Research Fund (NRF), Kenya, and the International Centre for Migration Policy Development (ICMPD). Moreover, he has made scholarly contributions through publishing in and serving as a reviewer of internationally reputable journals.

Areas of expertise

• Small area estimation
• Statistical modelling
• R programming

Research interests

• Poverty and inequality estimation
• Disaggregated prediction
• Statistical modelling

Publications

• Mutai N. C, Skarke, F. (2023) Estimating poverty and inequality in Kenya with small area techniques under data-driven transformations – Working paper.
• Don La Bonte Mwamburi Mcharo, Chris Clark, Noah Mutai (2023) Modelling Survival Time Among Sweetpotato Crosses Inoculated With Fusarium Wilt – Working paper.
• Juliet Katusiime, Brigitta Schutt, Noah Mutai (2023) The relationship of land tenure, land use and land cover changes in Lake Victoria basin, Land Use Policy, 126, 106542.
• Mutai, N.C. Small area estimation of health insurance coverage for Kenyan counties. AStA Wirtsch Sozialstat Arch (2022). https://doi.org/10.1007/s11943-022-00312-8
• Mutai, N. C. (2022). Estimating county level overweight prevalence in Kenya using small area methodology. South African Statistical Journal, 56(1), 1-19.
• Wainana, S. M., Karomo, J. N., Kyalo, R., & Mutai, N. (2020). Using data mining techniques and r software to analyze crime data in Kenya. International Journal of Data Science and Analysis, 6(1), 20.
• Uusitalo, R., Siljander, M., Culverwell, C. L., Mutai, N. C., Forbes, K. M., Vapalahti, O., & Pellikka, P. K. (2019). Predictive mapping of mosquito distribution based on environmental and anthropogenic factors in Taita Hills, Kenya. International Journal of Applied Earth Observation and Geoinformation, 76, 84-92.