Emmanuel N. Nartey, Ph.D. is a Research Scientist for the Center for Biostatistics and Health Data Science. He began his career at CBHDS in May 2024, after graduating with his PhD in Statistics and Analytics from the Department of Statistics, Actuarial, and Data Sciences at Central Michigan University. His research interests include supervised and unsupervised machine learning, statistical computing, complex survey data analysis, generalized linear models, and survival analysis. His dissertation studied internal indices for validating clustering solutions and using those indices to guide feature selection for classification. Emmanuel has experience working with national health surveys and electronic health records and has contributed to research studies in different health areas including chronic disease management, nutritional psychology, pharmacoepidemiology, eating disorders, HPV vaccination, and Medicare payments.
Vaughn-Cooke, M., & Nartey, E. Beyond Diagnoses: Identifying Functional Subgroups Among Adults with Chronic Conditions Using NHANES Data, (manuscript in preparation)
Nartey, E. N., Lee, C., & Famoye, F. A comparative review of some internal validation techniques for determining the number of clusters in numeric data. (manuscript in preparation)
Nartey, E. N., Lee, C., & Famoye, F. Numeric feature selection via the Average Silhouette Score towards optimal classification in machine learning. (manuscript in preparation)
Kolb, R., Nartey, E., Lozano, A., Hanlon, A., Ramirez, V., & Parma, V. Smell and taste dysfunction with GLP-1 RAs in the FDA adverse event reporting system: a pharmacovigilance assessment, (Food Quality and Preference) (under review)
Gearhardt, A., Hutelin, Z., Nartey, E., Ahrens, M., Baugh, M., Fazzino, T., LaFata, E., Sonneville, K., & DiFeliceantonio, A. Nutritional characteristics of foods with addictive potential: a machine learning approach, (American Journal of Public Health) (under review)
Dell, G., Landgraf, K., Ngounly, C., Choi, H., Waymack, S., Nartey, E., Hanlon, A., Patterson, A., & Faltin, F. An Evaluation of FDA’s FAERS Database’s Ability to Identify Safety Signals Over Time Using Montelukast’s Neurotoxicity Issues, (Pharmacoepidemiology & Drug Safety) (under review)
Palit, S., Sufyani, T., Inungu, J. N., Cheng, C. I., & Nartey, E. (2024). Behavioral Determinants of Childhood Obesity in the United States: An Exploratory Study. Journal of Obesity, 2024(1), 9224425. https://doi.org/10.1155/2024/9224425
Ameh, G., Nartey, E., Inungu, J., Shayestah, J. & Uchechukwu, O. (2023). Racial Disparities in Oral Health; Analysis of 2020 Behavioral Risk Factor Surveillance System. Acta Scientific Dental Sciences, Vol. 7, pp. 29-39. DOI: 10.31080/ASDS.2023.07.1551