# Area Under the Curve

Calculating the Area Under the Curve is used in many different fields of research and departments here at the University of Guelph.  The example we will work through here, is one from Food Science.  A PDF version of the Powerpoint presentation used for this session can be viewed here. The presentation explains the process of … Continue reading Area Under the Curve

# Path Analysis

We talked about Path Analysis a couple of years ago, and today we'll work through an example in SAS using PROC CALIS.  To date, we've had a couple of researchers using this PROC to review their data, which is very exciting! Path analysis is a really cool analysis that I suspect may be underused.  Why?  … Continue reading Path Analysis

# More than just Statistics – Can we Map in SAS?

PDF copy of the SAS syntax file used for this session. We say SAS - we think statistics!  We think statistics - we say SAS!  We think maps and GIS - SAS is probably the last program you think to use.  There are so many other options out there, why would you use SAS?  Well...  … Continue reading More than just Statistics – Can we Map in SAS?

# Proc MEANS (November 10)

So how many of us use Proc Means on a regular basis?  I'm willing to guess a fair number of us.  I'm also willing to put out there, because I know people do this - how many of you run the MEANS in SAS and then transcribe them to another dataset or another program?  Yup!  … Continue reading Proc MEANS (November 10)

# Back Transformations for Lognormal Data

As we continue to move into the Proc GLIMMIX world, we are using more non-Gaussian data, such as binomial, Poisson, etc...  When we take advantage of the strength of GLIMMIX and designate a non-Gaussian distribution, our LSMeans return to us in a transformed format.  But, GLIMMIX has a great option called ILINK to be added … Continue reading Back Transformations for Lognormal Data

# LSMEANS – Proc MIXED vs Proc GLIMMIX

Least Squares Means (LSMEANS) are just one of those outputs we all love to see in our SAS output.  We've worked through the challenges of seeing the same standard error for all our means (remember it's based on the model and NOT the individual values) and we've learned how to use the PDMIX800 macro for … Continue reading LSMEANS – Proc MIXED vs Proc GLIMMIX