George Luta holds an M.S. and a Ph.D., both in Biostatistics, from the University of North Carolina at Chapel Hill, and is currently a Professor at the Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University. He is an Elected Member of the International Statistical Institute, and is also a member of the American Statistical Association, the International Biometric Society, the Society for Epidemiologic Research, and the International Association for Statistical Education. Prior to joining Georgetown University in 2007, he served as a faculty member at the Department of Mathematics at the University of Timisoara, a biostatistician at the University of North Carolina at Chapel Hill, and a postdoctoral fellow at the National Institute of Statistical Sciences. His research interests are focused on the development of new prediction methods based on Lin's concordance correlation coefficient and new statistical methods for measures of health disparities.
Research Keywords & Expertise
Causal Inference
nonnegative matrix fac...
Empirical likelihood
Statistical methods fo...
Cancer prevention and ...
Arthritis epidemiology
Short Biography
George Luta holds an M.S. and a Ph.D., both in Biostatistics, from the University of North Carolina at Chapel Hill, and is currently a Professor at the Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University. He is an Elected Member of the International Statistical Institute, and is also a member of the American Statistical Association, the International Biometric Society, the Society for Epidemiologic Research, and the International Association for Statistical Education. Prior to joining Georgetown University in 2007, he served as a faculty member at the Department of Mathematics at the University of Timisoara, a biostatistician at the University of North Carolina at Chapel Hill, and a postdoctoral fellow at the National Institute of Statistical Sciences. His research interests are focused on the development of new prediction methods based on Lin's concordance correlation coefficient and new statistical methods for measures of health disparities.