Tag: Uncategorized

A day in the Life of a SAS/STAT developer

~ Contributed by Warren F. Kuhfeld, Sr Manager, R&D,  SAS ~ I love the classic Beatles song, A Day in the Life, and the line: “Woke up, fell out of bed, dragged a comb across my head.” I am a member of the SAS/STAT development team, and this i…

First-ever SAS training for warranty managers

SAS and the Global Warranty and Service Contract Association (GWSCA) recently teamed up to create the first-of-its-kind training for professionals in the warranty management field. In this Q&A, GWSCA president and course instructor G. Terry Hawkins…

Multilevel Models Part 2: What is a Multilevel Model?

Multilevel models (also called hierarchical linear models) are used to analyze clustered or grouped data, as well as longitudinal or repeated measures data. Consider the simple scenario shown below, where Y is continuous and is shown as a function of a…

Multilevel Models Part 1: Do I Need a Multilevel Model?

If you have data where the observations are not independent due to nesting or clustering, you may need a multilevel model. Another scenario that would require a multilevel model is if you have data where observations have been gathered multiple times o…

Getting started with SAS? Dial in for some free expert advice

If you’re a new SAS user, you may already be aware that SAS has created specific training and support materials to help you get started with SAS, such as our Getting Started with SAS introductory courses page. However, if you’re not 100 percent sur…

Upcoming SAS Talks: Getting started with SAS

Are you a new SAS user who isn’t sure where to begin? Have no fear, because you’re not alone. Here at SAS, we often receive questions from people who need help getting started with the software. Getting Started with SAS is the topic of a SAS Talks session that I […]

Applied data science in college basketball

Revenge of the Nerds was so 1980s. Now it’s a new world order: math geeks and athletes are working together. I’m not talking just about what happens when data nerds observe, analyze, and predict sports outcomes — as they do in March Madness with their “bracketology”. That’s compelling, but your […]