Friday's Innovation Inspiration - Prevalence data analysis


When I read the way that this user is working with SAS, I took a look around to find examples to allow you to work with your own data. (Take a look at this.) If this example isn't quite right for you, plug in your own key words.

Also, keep an eye on The Do Loop blog by Rick Wicklin, principal developer of PROC IML and SAS/IML Studio. (Rick is author of the book Statistical Programming with SAS/IML Software.)

Let me know what other papers, SAS Samples and examples you find that help you analyze prevalence  data. Have you developed your own analysis techniques? What are you doing with the data after analysis?



About Author

Waynette Tubbs

Editor, Marketing Editorial

+Waynette Tubbs is the Editor of the Risk Management Knowledge Exchange at SAS, Managing Editor of sascom Magazine and Editor of the SAS Tech Report. Tubbs has developed a comprehensive portfolio of strategic business and marketing communications during her career spanning 15 years of magazine, marketing and agency work.

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