Marianthi Markatou
PhD
Associate Chair of Research and Healthcare Informatics
SUNY Distinguished Professor
Core Faculty, CDSE PhD Program
Adjunct Professor
Research Topics
Statistical Sciences (Statistics and Biostatistics): robustness, theory (& applications) of statistical distances, mixture models, model assessment, classification & clustering, machine learning, kernel methods, foundations of data science. Interdisciplinary: text mining, biomedical informatics, safety of medical products, data science methods.
Selected Publications
- Markatou, M., Karlis, D., Ding,Y. (2021) Distance-Based Inference. Annual Reviews of Statistics and Its Applications, 8:6.1-6.27.
- Golzy, M. and Markatou, M. (2020). Poisson Kernel Based Clustering on the Sphere: Convergence Properties, identifiability
and a Method of Sampling. Journal of Computational and Graphical Statistics, 29(4), 758-770. - Talal, AH, Sofikitou, EM, Jaanimagi, V., Zeremski, M., Tobin, JN, Markatou, M. (2020). A Framework for Patient-Centered Telemedicine: Application and Lessons Learned from Vulnerable Populations. Journal of Biomedical Informatics, 112:103622.
- Ding, Y., Markatou, M., Ball, R. (2020). An Evaluation of Statistical Approaches to Post-Marketing Surveillance. Statistics in Medicine, 39, 845-874.
- Afendras, G. and Markatou, M. (2016). Uniform integrability of the OLS estimators, and the convergence of their moments. Test, 25, 775-784.
- Afendras, G. and Markatou, M. (2019). Optimality of Training/Test Size and Resampling Effectiveness in Cross-Validation Estimators of the Generalization Error. Journal of Statistical Planning and Inference, 199, 286-301.
- Markatou, M., Chen, Y. (2018). Non-Quadratic Distances in Model Assessment. Entropy, 20, 464; doi:10.3390/e20060464.
- Foss, A., Markatou, M, Ray, B., Heching, A. (2016). A semi-parametric method for clustering mixed data. Machine Learning, 105(3), 419-458.
- Markatou, M., Ball, R., Botsis, T., Nguyen, M. and Woo, E.J. (2015). A text mining system for large medical text datasets and corresponding medical text classification using informative feature selection. US Patent, no. 9,075,796.
- Chen, X., Vexler, A. and Markatou, M. (2015). Empirical likelihood ratio confidence interval estimation of best linear combinations of biomarkers. Computational Statistics and Data Analysis, 82, 186-198.
- Markatou, M.* and Ball, R. (2014). A pattern discovery framework for adverse event identification and inference. Statistical Analysis and Data Mining, 7(5), 352-367.
- Lindsay, B. G., Markatou, M. and Ray, S. (2014). Kernels, degrees of freedom and power properties of quadratic goodness-of-fit tests. Journal of the American Statistical Association, 109:505, 395-410.
- Dimova, R., Markatou, M., Talal, A.H. (2011). A comparison of information methods for model selection in mixed effects models with application to data from a study of treatment of HCV. Computational Statistics and Data Analysis, 55(9), 2677-2697.
- Wang, X., Hripcsak, G., Markatou, M., Friedman, C. (2009). Active computerized pharmacovigilance using natural language processing, statistics and electronic health records: a feasibility study. Journal of the American Medical Informatics Association, 1613, 338-345.
- Lindsay, B.G., Markatou, M., Ray, S., Yang, K., Chen, S-C. (2008). Quadratic Distances on Probabilities: A Unified Foundation. Annals of Statistics, 3612, 982-1006.
- Markatou, M., Tian, H., Bisuas, S. and Hripcsak, G. (2005). Analysis of the variance of cross validation estimators of the generalization error of computer algorithms. Journal of Machine Learning Research, 6, 1127-1168.
- Markatou, M. (2000). Mixture models, robustness and the weighted likelihood methodology. Biometrics, 56, 483-486.
- Markatou, M., Basu, A. and Lindsay, B.G. (1998). Weighted likelihood estimating equations with bootstrap root search. Journal of the American Statistical Association, 93, 740-750.