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Students & Educators
Nadja Young 0
Value-added myth busting, Part 4: Value-added models cannot measure growth of students who have missing data or are highly mobile

Students with missing test scores are often highly mobile students and are more likely to be low-achieving students. It is important to include these students in any growth/value-added model to avoid selection bias, which could provide misleading growth estimates to districts, schools and teachers that serve higher populations of these

SAS Events
Robby Powell 0
Why is SAS 9.4 a big deal?

SAS Global Forum 2013 is a couple weeks in the past, but the feedback and anticipation shared by customers as they heard about SAS 9.4 are still fresh in our minds here at SAS.  As we put the final touches on the June release, the excitement we felt in San

Data Visualization
Sanjay Matange 0
Report from PharmaSUG 2013

The PharmaSUG 2013 conference in Chicago this week was awesome.  From the perspective of graphics, there was great interest in using SG Procedures, Designer and GTL for building clinical graphs.  It was nice to see many papers by users on how they are using these tools for creating graphs on a daily

SAS Events
Viji Iyer 0
Conference with a heart!

Ever heard your grandmother say when you were little: If you have your heart set in the right place, you can achieve anything you set out to do! That’s what SAS users tried to do at SAS Global Forum 2013 held at Moscone West, San Francisco. The conference had a

Data Visualization
Sanjay Matange 0
Clark Error Grid Graph

The SAS Global Forum conference last week was awesome.  From the perspective of graphics, there were more papers from uses on graphics and ODS graphics then in recent times.  I will post a summary shortly. One of the interesting papers was "#113-2013 - Creating Clark Error Grid using SAS/GRAPH and Annotate..."

Rick Wicklin 0
Compute confidence intervals for percentiles in SAS

PROC UNIVARIATE has provided confidence intervals for standard percentiles (quartiles) for eons. However, in SAS 9.3M2 (featuring the 12.1 analytical procedures) you can use a new feature in PROC UNIVARIATE to compute confidence intervals for a specified list of percentiles. To be clear, percentiles and quantiles are essentially the same

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