SAS Code Workshop Series

Upcoming dates: TBD
Joyner Library, room 1021
2 p.m. to 4 p.m.

In conjunction with the ECU Office for Faculty Excellence, the Department of Biostatistics is offers a yearly SAS code workshop series. The workshop will consist of four 2-hour hands-on workshops and will be open to all faculty, staff, and graduate students. The workshop series are generally recorded and available on Mediasite.

The workshop series will cover a wide range of statistical topics, but the hope is to make it accessible to those with a limited statistical background. Instructors may provide a brief overview of topics, but the bulk of the time will be spent in applications to real data.


Day 1 - Introduction to SAS

Covering basic aspects of SAS as a data management tool as well as some of the basic language essentials needed. Topics will include reading and importing data in from various sources or types of files, creating SAS libraries, assignment statements, if/then statements, and discussion of the Proc step for creating output.

Files: Presentation (pptx), File 1 (xls), File 2 (rtf)

Day 2 - Using SAS for Graphics

Detailing the use of SAS to produce high quality visualizations of data. Traditional procedures for simple graphics such as boxplots, histograms, and scatterplots will be discussed along with new "statistical graphics" procedures that add visual analytics to the mix.

Files: Presentation (pdf), File 1 (xls), File 2 (zip)

Day 3 - Statistical Inference Using SAS

Covering basic topics in making statistical inferences using SAS. Topics include describing and comparing frequencies using Proc Freq, inferences for one and two-sample means using Proc Ttest, analysis of variance using Proc ANOVA and Proc GLM, as well as some nonparametric alternatives via Proc npar1way.

Files: Presentation (pdf), File 1 (zip)

Day 4 - Statistical Modeling Using SAS

This workshop will cover basic regression models in SAS. Topics include linear regression, general linear regression, logistic regression, and their implementations in SAS.

Files: Presentation (pdf), File 1 (zip), File 2 (xls), File 3 (xls)

For more information, email Dr. Kevin O'Brien at Participants are welcome to email suggestions on advanced topics they would like to see covered.