Elizabeth A. Claassen
Senior Associate Research Statistician Developer in the JMP Division of SAS
Elizabeth A. Claassen, PhD, is Senior Associate Research Statistician Developer in the JMP division of SAS. Dr. Claassen has 9 years’ experience with SAS software and 5 years’ experience with JMP. Her chief interest is generalized linear mixed models, and she brings to this work her expertise with SAS GLM, MIXED, GLIMMIX, and NLMIXED procedures for linear models. Dr. Claassen earned an MS and PhD in statistics from the University of Nebraska–Lincoln, where she received the Holling Family Award for Teaching Excellence from the College of Agricultural Sciences and Natural Resources.
By This Author
SAS® for Mixed Models: An Introduction and Basic Applications
Discover the power of mixed models with SAS. Mixed models—now the mainstream vehicle for analyzing most research data—are part of the core curriculum in most master’s degree programs in statistics and data science. Written for instructors of statistics, graduate students, scientists, statisticians in business or government, and other decision makers, SAS® for Mixed Models is the perfect entry for those with a background in two-way analysis of variance, regression, and intermediate-level use of SAS.
- Rick Wicklin is a principal researcher in computational statistics at SAS, where he develops and supports the IML procedure and the SAS/IML Studio application.
- Ron Cody, EdD, a retired professor from the Robert Wood Johnson Medical School now works as a private consultant and a national instructor for SAS Institute.
- Susan Slaughter discovered SAS software in graduate school at North Carolina State University.
- Rebecca A. Ottesen first learned SAS as a student at California Polytechnic State University, San Luis Obispo, where she now teaches.