Ruth M. Hummel
Senior Manager of Analytical Education, SAS
Ruth M. Hummel, PhD, is a Senior Manager of Analytical Education at SAS. Dr. Hummel develops curricula, teaches, and consults to help researchers and practitioners apply statistical methods and analytics to solving problems, predominantly in the health and life sciences. Prior to joining SAS in 2016, she worked at the Environmental Protection Agency as the statistical expert for the Risk Assessment Division of the Office of Pollution Prevention and Toxics, and she taught and consulted at the Pennsylvania State University and at the University of Florida. Dr. Hummel is a co-author of Business Statistics and Analytics in Practice, 9th edition, a business statistics textbook emphasizing simple data mining techniques earlier in the standard curriculum. She has a PhD in statistics from the Pennsylvania State University.
By This Author
JMP® for Mixed Models
JMP® for Mixed Models is a comprehensive introduction to and reference manual on the use of mixed models with JMP software. The topics covered are analysis of simple, intermediate and complex experiments using mixed model methods in JMP, specifically DOE, single and multiple random effect models, repeated measures and spatial models, random coefficient models, and power analysis. Mixed models are essential for researchers and data analysts, and JMP is the ideal visual and intuitive tool, with a unique approach to graphical statistics.
- A SAS user since 1986, Robert Obenchain is Principal Consultant at Risk Benefit Statistics LLC in Carmel, Indiana.
- Rebecca A. Ottesen first learned SAS as a student at California Polytechnic State University, San Luis Obispo, where she now teaches.
- Michael Patetta has been a statistical instructor for SAS since 1994. He teaches a variety of courses including Supervised Machine Learning Procedures Using SAS® Viya® in SAS® Studio, Predictive Modeling Using Logistic Regression, Introduction to Data Science Statistical Methods, and Regression Methods Using SAS Viya.
- Dr. Carlos Pinheiro is a Principal Data Scientist at SAS and a Visiting Professor at Data ScienceTech Institute in France. He has been working in analytics since 1996 for some of the largest telecommunications providers in Brazil in multiple roles from technical to executive.