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David Bass 1
Documentation for high-performance analytics

We are surrounded by massive quantities of data, and somewhere in there is the information that your organization needs. But being able to perform complex analysis on huge amounts of data isn’t enough – the analysis needs to take place quickly enough for you to be able to act on

George McDaniel 0
Your guide to overdispersion in SAS

Let’s assume you own a modeling agency. You’ve just discovered a beautiful new model, who seems to have everything. She’ll be a star, the toast of the fashion show, modeling all the latest gowns and swimsuits. And you will be a star too, because you discovered her. Yet, when the

SAS Events
Sanjay Matange 4
Graphs are easy with SAS 9.3

ODS Graphics have matured.  With SAS 9.2, GTL and SG procedures were a new direction for creating analytical graphs in SAS. The motivation and design of the GTL framework and the SG procedures was driven primarily by the needs of the procedure writers within SAS to enable the automatic creation

Learn SAS
Lisa Fine 6
PROC REPORT formatting tips

I’m a SAS user in the Pharmaceutical industry. I switched to the Pharmaceutical industry (from Marketing Research) four years ago and had a lot to learn! I started my new endeavor by purchasing some excellent SAS books, joining my local SAS user group, attending conferences (Michigan SAS User Group, PharmaSUG,

Nele Coghe 3
Calculate your survival chance on the Titanic

On the 10th of April, 1912, the RMS Titanic set out on its maiden voyage across the Atlantic Ocean carrying 2,223 passengers. On the 14th of April, it hit an iceberg and sank. There were 1,517 fatalities. Identifying information was not available for all passengers. The titanic dataset describes the survival status

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