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College of Allied Health Sciences
Department of Biostatistics




 


SAS Code Workshop Series

Four-part series – January 20, 27 and February 10,17

1021 - Joyner Library

2 p.m. to 4 p.m.

In conjunction with the ECU Office for Faculty Excellence, the Department of Biostatistics is offers a SAS code workshop series yearly.  The workshop will consist of 4 two-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.


Schedule:

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, File 1, File 2

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, File 1, File 2

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, File 1

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, File 1, File 2, File 3

 

For more information e-mail Dr. Jason Brinkley (brinkleyj@ecu.edu).  Participants are welcome to e-mail suggestions on advanced topics they would like to see covered. Mediasite recordings of the workshops can be found here (coming soon).