Jeffrey Burton, Ph.D.
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Ph.D., Louisiana State University Health Sciences Center, New Orleans, LA, 2013, Biostatistics
M.Ap.Stat, Louisiana State University, Baton Rouge, LA, 2008, Applied Statistics
B.A., Louisiana State University, Baton Rouge, LA, 2005, Psychology
Dr. Burton’s main research focus is in linear and nonlinear mixed effects models. Specifically, his past research has focused on investigating properties of hypothesis tests in the field of mixed models. He is also interested in the application of nonlinear models in pharmacokinetic studies. Apart from academic research, Dr. Burton is interested in providing statistical consultation and guidance to researchers in a variety of health science fields.
Burton, J.H., & Volaufova, J. (2015). Approximate testing in two-stage nonlinear mixed models. Journal of Statistical Computation and Simulation, 85(13), 2656-2665. doi:10.1080/00949655.2014.948442
Burton, J.H., Johnson, M., Johnson, J., Hsia, D., Greenway, F.L., & Heiman, M.L. (2015). Addition of a gastrointestinal microbiome modulator to metformin improves metformin tolerance and fasting glucose levels. Journal of Diabetes Science and Technology. Advance online publication. doi: 10.1177/1932296815577425
Burton, J.H., Volaufova, J., Beyl, R., & Johnson, W.D. (2014). Statistical power of approximate tests in two-stage nonlinear mixed models. In Proceedings of the Joint Statistical Meetings of the American Statistical Association, Biometric Society and Institute of Mathematical Statistics, Boston, MA.