Dr. Glen Satten is a statistician in the Division of Research in the Department of Gynecology and Obstetrics, Emory University School of Medicine. His research centers on the development of statistical methods for analyzing data from association studies, especially from studies of the microbiome or genetic association studies. An additional area of interest is statistical methods for analyzing data from Epidemiologic studies. He has secondary appointments in the Departments of Human Genetics and Biostatistics and Bioinformatics.
Ph.D., Harvard University, 1985
M.A., Harvard University, 1981
B.A., Oberlin College, 1979
Contact Information
101 Woodruff Circle
Atlanta , GA 30322
Phone: 404-727-5512
Email: gsatten@emory.edu
Areas of Interest
- Genetic Association Studies
- Genetic Epidemiology
- Genomics
- Microbiome Research
Education
- Ph.D. 1985, Harvard University
- M.A. 1981, Harvard University
- B.A. 1979, Oberlin College
Publications
- Epstein, M. P., Duncan, R., Jiang, Y., Conneelly, K. N., Allen, A. S. and Satten, G. A., 2012, A Novel Permutation Procedure to Correct for Confounders in Case-Control Studies, Including Tests of Rare Variation, . The American Journal of Human Genetics , 91(2), 215-223
- Epstein, M. P., Allen A. S. and Satten G. A., 2007, A Simple and Improved Correction for Population Stratification in Case-Control Studies., American Journal of Human Genetics , 80, 921-930
- Allen, A. S. and Satten, G. A., 2007, Inference on haplotype/disease association using parent-affected-child data: the projection conditional on parental haplotypes method., Genetic Epidemiology , 31, 211-223
- Kwee L. C., Epstein, M.P., Manatunga, A.K., Duncan, R., Allen, A.S. and Satten, G. A., 2007, Simple Methods for Assessing Haplotype-Environment Interactions in Case-Only and Case-Control Studies., Genetic Epidemiology , 31, 75-90
- Allen, A. S. and Satten G. A. , 2007, Statistical Models for Haplotype Sharing in Case-Parent Trio Data. , Human Heredity , 64, 35-44
- Datta, S., Satten, G. A. , 2005, Rank sum tests for clustered data. , Journal of the American Statistical Association , 100, 908-915