I’m recently back from a weeklong course on causal inference at the Harvard T. H. Chan School of Public Health in Boston, Massachusetts. It was great to sit and learn from the best in this area, one to which SAS has contributed lately with the PSMATCH and CAUSALTRT procedures, with more to come. It was interesting to hear about the data that had spurred methodological advances as well as the problems yet to be solved. (Yes to those who know me: I did manage to get to Fenway a couple of nights—both extra innings, both wins!)
We are heading off to teach at the Joint Statistical Meetings in Baltimore, July 29 through August 3, with two-hour tutorials in analyzing multilevel models with PROC GLIMMIX, causal treatment effect analysis, advanced methods for survival analysis, and weighted GEE analysis. It’s not too late to add these tutorials to your registration. And please come see us on the exhibition floor, where we will be talking about recent and upcoming additions to SAS/STAT® and SAS/ETS® software as well as demoing our latest venture into machine learning on the SAS® Viya™ platform.
Kudos to the folks who coordinated the Michigan Users Group day a couple of weeks ago. The event attracted over 300 attendees, and I had a great audience for my tutorial on analytical categorical outcomes in longitudinal data analysis as well as many interesting conversations with users throughout the day. The organizers ran two tracks, and it was an impressive effort all around.
Here’s to the summer.
Senior R&D Director, Statistical Applications