| Title: | Associate Professor |
| Dept: | Mathematics and Statistics |
| Office: | RT 1510 |
| Phone: | 216-523-7324 |
| Email: | s.hurtadorua@csuohio.edu |
| Address: | 2121 Euclid Ave. RT 1510, Cleveland, OH 44115 |
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| Education: | ||||||||
| Ph.D., Statistics, University of Connecticut | ||||||||
| Brief Bio: | ||
| Dr. Hurtado Rúa's training is in the field of statistics, specifically in the area of Bayesian statistics with an emphasis on biostatistics applications. | ||
| Honors and Awards: | ||
| 2023 Fulbright Scholar
2020 Faculty Merit Recognition 2019 Faculty Merit Recognition | ||
| Research Interests: | ||
| Dr. Hurtado Rúa is interested in the development and application of Bayesian statistical methods to clinical, biological and social studies. Her collaborative research includes statistical analysis of MRI data in the context of multiple sclerosis research, meta-analysis studies, and modeling of survival and cancer cure rates. | ||
| Teaching Areas: | ||
| Statistics (Graduate and Undergraduate), Bayesian Statistics (Graduate) | ||
| Professional Affiliations: | ||
| 2006- Member, American Statistical Association.
2006- Member, Institute of Mathematical Statistics. 2010- Member, International Society of Bayesian Analysis. 2015- Member, Latin American Society of Probability and Mathematical Statistics. | ||
| Research Grants: | ||
| 2021-2022 Improving causal inference methods in observational studies with applications to multiple sclerosis. CSU-Faculty research and development award. Role: PI (8:3% Effort).
2019-2021 Targeting patient-specific risk patterns for opioid use and cravings. Ohio Department of Higher Education (Third Frontier Research Incentives). Role: Co-PI (12:5% Effort). PI: Ilya Yaroslavsky, Department of Psychology, Cleveland State University. 2018-2023 Identifying mechanisms of tissue injury in MS lesions: A multi-modality imaging approach (R01). NIH/ NINDS. Role: Co-I (12:5% Effort). PI: Susan Gauthier, Department of Neurology, Weill Medical College of Cornell University. 2017-2018 A Bayesian model for making group inferences from MRI data. Faculty research and development award (CSU). Role: PI (12:5% Effort). | ||