English

Analytics | Data for Good | Data Management
Georgia Mariani 0
5 tips for implementing a data and analytics culture in higher education

Building a data and analytics culture in higher education means equipping key stakeholders with the skills necessary to analyze and leverage insights extracted from data. Doing so can drive faster, more accurate decision-making. When I hear “data and analytics culture,” I immediately think of the work Jason Simon and his team

Work & Life at SAS
Alyssa Grube 0
Our Most Human Superpower

With all that’s happened over the last two years, there has never been a greater need for inspiration, connectedness and learning. And for that, we need to look no further than our curious employees!   That’s the idea behind Big Ideas, our internal series of short, inspiring employee talks. Each year,

Analytics | Data for Good | SAS Events | Work & Life at SAS
Mimi Stapleton 0
Finding an effective way to drive change – by adding data

Six scholars from North Carolina A&T State University in technology– or STEM-focused majors helped foster the next generation of data-literate students while also donating to those in need. SAS recently facilitated a donation drive with students from the Wake County Young Men's Leadership Academy (WYMLA) in Raleigh, North Carolina and scholars from

Programming Tips
Ron Cody 0
Using formatted CLASS variables

If you use formatted variables in a CLASS statement in procedures such as MEANS or UNIVARIATE, SAS will use the formatted values of those variables and not the internal values. For example, consider you have a data set (Health) with variables Subj, Age, Weight, and Height. You want to see

Analytics | Learn SAS
Rick Wicklin 0
The balanced bootstrap in SAS

I have previously blogged about ways to perform balanced bootstrap resampling in SAS. I recently learned about an easier way: Since SAS/STAT 14.2 (SAS 9.4M4), the SURVEYSELECT procedure has supported balanced bootstrap sampling. This article reviews balanced bootstrap sampling and shows how to use the METHOD=BALBOOT option in PROC SURVEYSELECT

Advanced Analytics | Cloud
Lucas de Paula 0
Running CMS Risk Adjustment Models via API with SAS Analytics Pro (Viya) on Azure

In this third article, we will introduce an alternative approach that surfaces the CMS-HCC Risk Adjustment Model execution through SASPy integration to a Flask application. We will demonstrate how this integration allows a user to score an individual patient/member on-demand, using inputs to an interactive web form to execute the model score code, surfacing the resulting score to the user.

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