Manfred Kiefer is a Globalization Specialist for SAS and the author of SAS Encoding: Understanding the Details. This week's tip is from his new book. In a review, Edwin Hart said "This book provides a very readable description of a topic that has long needed exposure: Why do my characters get
Edward Vonesh is a managing member of Vonesh Statistical Consulting, LLC, as well as a part-time employee of Northwestern University, where he supports research in his capacity as professor in the Department of Preventive Medicine. Needless to say, he knows a thing or two about generalized linear and nonlinear models.
This week's SAS tip is from A. John Bailer and his book Statistical Programming in SAS. A Fellow of the American Statistical Association, John has been using SAS for 30 years. He's also Distinguished Professor and Chair of the Department of Statistics at Miami University. To read a free chapter and user reviews
In the course of my job, I get to have a lot of conversations with authors about their books. One of the aspects of those conversations I enjoy most is learning about their areas of expertise and knowledge—that could be certain SAS software or programming techniques, particular fields of analytics,
The SAS System provides users with the ability to create, store and access custom functions using the Function Compiler (FCMP) procedure. Once defined with PROC FCMP, a user-defined function can be used, or called, just like any other SAS function in the SAS System. This powerful capability gives users the
I was recently following a post where a user asked what the earliest SAS PROCs (procedures) were. Since I started using SAS in 1970, I knew I could find a copy of the old documentation that we used at that time. This “user’s guide” was something that you printed out on
In Paul Allison’s own words, “It’s about time!” The first edition of his book on logistic regression came out in 1999, and since then, “there have been an enormous number of changes and enhancements to the SAS procedures for doing logistic regression and related methods.” Allison has incorporated those changes
We just published Gerhard Svolba’s Data Quality for Analytics Using SAS. When I first heard about it, I thought we’d have a tome covering such topics as standardizing data, cleaning it up, removing duplicates, and so on. However, as Gerhard says in his Introduction, “There are many aspects of data
This week's SAS author's tip comes from Carol Matthews and Brian Shilling and their book Validating Clinical Trial Data Reporting with SAS. SAS users have raved about this guide. In her review, Susan Fehrer said "Carol and Brian's book provides a good overview, practical hands-on tips, and many examples of how to perform
Robert Allison's SAS/GRAPH: Beyond the Basics collects examples that demonstrate a variety of techniques you can use to create custom graphs using SAS/GRAPH software. To celebrate the book’s publication, we asked Robert to tell us more about why he loves SAS/GRAPH. Here’s what he had to say: A graph is
