Tag: statistical training

The Punchline: MANOVA or a Mixed Model?

So, if you were reading last week, we talked about how to structure your data for a mixed models repeated measures analysis. And as my friend Rick pointed out, there’s more than one way to go about restructuring your data (if you ask real nice, …

The Bayes theorem, explained to an above-average squirrel

Editor’s Note: The following question was recently asked of our statistical training instructors. Terry Woodfield, along with Bob Lucas took the time to write this eloquent and easily digestible answer.

Question: I’m trying to get a general

Discrimanant 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 know what the probabilities are in my population? Is it best to just use the default in PROC D…

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 OUT= option to save scores to the input data set. However, to score a new data set, or to p…

Keeping the Analytical Trenches Fresh

You know the old joke,

Q. How can you tell an extroverted statistician from an introverted statistician?

A. The extrovert looks at your shoes when they talk.

Well, the statisticians that I work with every day are a pretty lively bunch, so th…

Is It Random or Repeated?

Last week, a student in my Mixed Models Analysis Using SAS class sent in the following text message during a discussion of crossover designs (sometimes known as ABBA designs, where factors vary within subjects, not ABBA designs where you’re like…