Dr. Paul Atandoh

Education

• Ph.D., Statistics, Western Michigan University
• M.A., Actuarial Science, Ball State University
• M.Sc., Mathematical Science, African Institute for Mathematical Sciences
• B.Sc., Actuarial Science, University for Development Studies

Specialty

Statistics and actuarial science

Professional Interests

Dr. Atandoh’s research areas and interest include statistical analysis of network data, natural language processing (NLP), variational inference, statistical machine learning and data mining, health, and actuarial science.

Recent Publications

• Paul H. Atandoh and Kevin H. Lee (2023) Statistical clustering of documents via stochastic blockmodels, Journal of Applied Statistics, DOI: 10.1080/02664763.2023.2247617
• Atandoh, P., Zhang, F., Adu-Gyamfi, D., Atandoh, P. H., and Nuhoho, R. E. (2023). Integrated deep learning paradigm for document-based sentiment analysis. Journal of King Saud University-Computer and Information Sciences, 35(7), 101578.
• Sulley, S., Adzrago, D., Mamudu, L., Odame, E. A., Atandoh, P. H., Tagoe, I., … and Williams, F. (2023). Assessment of prenatal depression among US pregnant women without access to paid sick leave and regular place of care: National Health Interview Survey of US-born and non-US-born. Preventive Medicine Reports, 35, 102322.5
• Mamudu, L., Salmeron, B., Odame, E. A., Atandoh, P. H., Reyes, J. L., Whiteside, M., … & Williams, F. (2023). Disparities in localized malignant lung cancer surgical treatment: A population‐based cancer registry analysis. Cancer Medicine, 12(6), 7427-7437.
• Atandoh, P., Fengli, Z., Adu-Gyamfi, D., Leka, H. L., & Atandoh, P. H. (2021, December). A Glove CNN-Bilstm Sentiment Classification. In 2021 18th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) (pp. 245-249). IEEE.

Contact Dr. Paul Atandoh

(478) 301-2797
atandoh_ph@mercer.edu
Office: Ware Hall, Room 110A