
Unit:
Dept. of Health Administration and Policy
Mail
Stop: 1J3
Office Location: Northeast Module 115
Phone: 703-993-9164
Email: pkitsant@gmu.edu
Dr. Panagiota (Yiota) Kitsantas is an assistant professor of biostatistics and epidemiology in the Department of Health Administration and Policy. She received her doctorate in Statistics from Florida State University in 2003. She has taught numerous courses in statistics (business and social sciences) and epidemiology at Florida State University and East Carolina University. Her research interests pertain to the application of data mining techniques such as classification and regression trees, and methods of categorical data analysis and spatial statistics to investigate public health related issues in the fields of environmental health, maternal and infant health and substance abuse among adolescents. She has been collaborating with a large number of researchers from various areas and served as a biostatistics consultant on numerous projects. Dr. Kitsantas has published several manuscripts in both statistical and epidemiological related peer reviewed journals. She has also presented here research findings at national and international conferences.
Recent Publications
Kitsantas, P. (in press). Ethnic differences in infant mortality by cause of death. Journal of Perinatology
Pawloski, L.R, & Kitsantas, P. (in press). Using classification trees to predict Stunting in Malian adolescent girls. American Journal of Human Biology
Kitsantas P. (2008). Underlying and multiple causes of death in preterm infants. Journal of Data Science 6(1), 125-134.
Kitsantas, P., Kitsantas, A., & Anagnostopoulou, T. (2008). A Cross-cultural
investigation of
college student alcohol consumption: A classification trees analysis. The
Journal of Psychology: Interdisciplinary and Applied, 142,5-20..
Kitsantas, P., Kang, E., & Yang, L. (2007). Root cause analysis and Bayesian networks of downsyndrome and necrotizing enterocolitis. Quality management in Health Care 16(4), 328-335.
Kitsantas, P., Hollander, M., & Li, L. (2007). Assessing the stability of classification trees. Journal of Statistical Planning and Inference 137(12), 3917-3929.
Kitsantas, P., Moore, T., & Sly, D.F. (2007). Using classification
trees to profile adolescent
smoking behaviors. Addictive Behaviors 32(1), 9-23.
Kitsantas, P., Hollander, M., & Li, L. (2006). Assessing adverse birth outcomes via classification trees. Artificial Intelligence in Medicine, 38(3), 275-289.
Kitsantas, P., Kitsantas, A., & Kitsantas, T. (2006). Self-Regulation and web-based pedagogical tools. Academic Exchange Quarterly, 10(4), 210-215.
Kitsantas, A., & Kitsantas, P. (2005). Predicting children’s use of health enhancing behaviors: Do parental socioeconomic status, health knowledge, and self-regulation matter? Polish Psychological Bulletin, 36(1), 17-23.