About Matthew Gurka
Dr. Gurka is a Professor in the Department of Health Outcomes and Biomedical Informatics and the department’s Associate Chair of Education at the University of Florida. Hired as part of the University’s Preeminence Initiative, Dr. Gurka is also Associate Director of the Institute for Child Health Policy. Prior to his recent appointment at UF, Dr. Gurka was the Founding Chair of the Department of Biostatistics in the School of Public Health at West Virginia University, where he also led the Clinical Research Design, Epidemiology, and Biostatistics Program of the West Virginia Clinical and Translational Science Institute (WVCTSI). Before his stay at WVU, Dr. Gurka was an Assistant Professor in the Department of Public Health Sciences and Department of Pediatrics in the School of Medicine at the University of Virginia.
Dr. Gurka received a Ph.D. in biostatistics with an emphasis in epidemiology at the University of North Carolina at Chapel Hill. He has experience in a wide range of applications of biostatistics to medical research, from the design and analysis of observational studies to the coordination and analysis of multi center longitudinal studies. His research areas in statistics include longitudinal data analyses, mixed models and other multivariate modeling techniques, model selection, power analysis, and internal pilot studies. He has published articles in renowned statistical journals regarding complexities associated with the use of linear mixed models, and he recently served on the Editorial Panel of the Journal of the Royal Statistical Society, Series A.
Dr. Gurka has extensive collaborative and independent research experience in pediatrics. He has obtained funding from the NICHD to study the impact of chronic illnesses such as asthma on development and behavior in children and adolescents. Recently he has focused on childhood and adult obesity, specifically studying the metabolic syndrome. He has obtained NIH funding (NIDDK R21 and a current NHLBI R01) to develop and validate tools to measure metabolic syndrome severity that takes into account sex and racial/ethnic differences observed in this condition. He recently served a term on the Executive Editorial Board of the journal Pediatrics.
- Longitudinal research design and data analysis
- Metabolic syndrome
- Pediatric research