Robin High, MBA MA

Statistical Coordinator

University of Nebraska Medical Center
College of Public Health 

Professional Sumary

• 2008-present  University of Nebraska Medical Center
• 1993-2008 University of Oregon
• 1991-1993 Oregon State University
• 1987-1991 Texas Research and Development Foundation, Austin Texas
• 1983-1987 Austin Research Engineers, Austin Texas

Education

• M.M. University of Oregon, Eugene, 1996
• M.A.  University of Texas, Austin, 1983
• M.B.A.   University of Texas, Austin, 1981
• B.M.   University of Nebraska, Lincoln, 1976

Research Interest & Projects

Specialized statistical applications include the graphical representation of data, repeated measures, Linear and Non-Linear Models with fixed and random effects, Generalized Linear Mixed Models for continuous and discrete data, and estimation by maximum likelihood of parameters for non-normal distributions, as well as the design and analysis of experiments and statistical power calculations.

Advanced user of SAS software for data manipulation, graphics, and data analyses.

Selected Publications

• Jennifer L. Huberty, Richard R. Rosenkranz, Mary A. Balluff, Robin High, Describing weight status and fitness in a community sample of children attending after-school programming. (in review)
• Edward V. Fehringer, Robin High, CT Evidence of Bone Incorporation Between Radial Fins of an Uncemented Glenoid Component Central Peg (in review)
• Dharam Kaushik, Robin High, Curtis J Clark, Chad LaGrange, Malfunction of the Da Vinci robotic system during robotic - assisted laparoscopic prostatectomy: an international survey.  (in review)
• Hess, J. A., LD Kincl, JT Albers, and RR High "Ergonomic Evaluation of an Extension Screw Gun to Improve Work Postures" (in review).
• Introduction to Statistical Power Calculations for Linear Models with SAS 9.1, Paper presented at the Pacific Northwest SAS User's Group Conference, Seattle, Washington (2007).
• Data Coding for Logistic Regression with SAS: Which Procedure Should You Use?, Computing News, Spring, 2005. http://cc.uoregon.edu/cnews/spring2005/saslogistic.htm

Professional Affiliations

• American Statistical Association