About this blog
Hi! I’m Michele Reister and I’ll be providing you with an insider’s view into the world of SAS training. Follow along with my colleagues and me as we offer up practical information to help you become a better SAS user.
Catherine Truxillo
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Catherine Truxillo, Ph.D. has been a Statistical Training Specialist at SAS since 2000 and has written or co-written SAS training courses for advanced statistical methods including: multivariate statistics, linear and generalized linear mixed models, multilevel models, structural equation models, imputation methods for missing data, statistical process control, design and analysis of experiments, and cluster analysis. Although she primarily works with advanced statistics topics, she also teaches SAS courses using SAS/IML (the interactive matrix language), SAS Enterprise Guide, SAS Enterprise Miner, SAS Forecast Studio, and JMP software.
Before coming to SAS, Catherine completed her Ph.D. in Social Psychology with an emphasis in Statistics at The University of Texas at Austin. While at UT Austin, she completed an internship with the Math and Computer Science department’s statistical consulting help desk and taught a number of undergraduate courses. While teaching and performing her own graduate research, she worked for a software usability design company conducting experiments to assess the ease-of-use of various software interfaces and website designs.
Cat’s personal interests include triathlon, hiking the woods near her home in North Carolina, and having tea parties with her two children.
Recent Posts
Help! I have too many variables for a cube!
The following email landed in my inbox this morning and it is such a good question that I decided to share because it comes up ... Read More
The Human Side of Statistical Process Control: Three Applications of SAS/QC You Might Not Have Thought About
When you think of statistical process control, or SPC for short, what industry first comes to your mind? In the past 10 or 15 ... Read More
Who Ate My Lunch? Discriminant Thresholds to Reduce False Accusations
Lunch. For some workers, it’s the sweetest part of an otherwise bitter day at the grindstone. Nothing can turn that sweetness sour like going ... Read More
The Punchline: MANOVA or a Mixed Model?
Edited to add: Thanks for Larry Madger for noticing an important omission in my code below. I have updated the programs to include the response ... Read More
Discriminant Analysis, Priors, and Fairy-Selection
A student in my multivariate class last month asked a question about prior probability specifications in discriminant function analysis: What if I don't ... Read More
We Wanted to Call It "All the Statistics You Missed in B-School"
Happy New Year!! This is a good time to think about what was going on here in SAS Education one year ago, and to ... Read More
Quantum Football, Electron Preschoolers, and Schrodinger’s STEM
At this time of year as fans debate over the best players in college football, quantum mechanics combines with college sports to produce the Heisman ... Read More
Weekday Morning Quick-trick: How to Score from PROC VARCLUS
Have you used multivariate procedures in SAS and wanted to save out scores? Some procedures, such as FACTOR, CANDISC, CANCORR, PRINCOMP, and others have an ... Read More
Why is there only one subject in my mixed model?