Uncategorized

Learn SAS
Shelly Goodin 3
SAS author's tip: the Student t-distribution

Remarkably, this week's tip was initially inspired by the Guinness Brewery in Dublin, Ireland. In his new book Statistical Analysis for Business Using JMP, Professor Willbann Terpening provides lots of useful information - including the origin and usage of the Student t-distribution. If you'd like to get to know Willbann and

Shelly Goodin 0
SAS author's tip: Using MLOGIC

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

Chris Daman 0
ESTIMATE Statements - the final installment

FINALLY…the simplest ESTIMATE statements to write are for continuous variables not involved in interactions or higher order terms. Consider a data set containing the 2004 SAT scores for each of the 50 states. The file includes the combined math and verbal SAT scores (TOTAL), the state (STATE) and the percent

0
Four reasons to use SAS/GRAPH

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

Chris Daman 0
"Easy button" for ESTIMATE statements

My previous blog demonstrated the most difficult type of ESTIMATE statement to write—a two-way (or higher) ANOVA with interactions. An "easy button" for ESTIMATE statement comes by having a simpler model. Models with only main effects and no interactions make writing ESTIMATE statements straightforward.  Consider first a one-way ANOVA. A

Analytics
0
New analytics book from Bill Franks

Bill Franks’s new book, Taming the Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics, has just released. This book shows how big data is changing the world of analytics; what people, processes, technologies, and mindsets are necessary to succeed in analytics in this new era;

1 83 84 85 86 87 99