Abstract
In this chapter we spend some time discussing how to use DATA step to create new SAS variables, files out of old SAS variables, files with SET statements, as well as different ways to combine and merge data sets.
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Notes
- 1.
In this case, the argument oldDateVar must be a valid SAS date variable.
- 2.
Again, SAS help is excellent, if not immediately reachable. Delwiche and Slaughters’ 2nd edition lists some popular functions in Sects. 3.2 and 3.3.
- 3.
Hint: PROC CONTENTS.
- 4.
Why did this occur? Some zip code tabulation areas may not have had any deaths assigned to them, or they may have been male but not female deaths, or vice versa. The position of our male and female death numbers is 30 and 36, respectively.
- 5.
We will find the file in the work library.
- 6.
How many observations would you have if you concatenated using a SET statement?
- 7.
International Classification of Diseases, 9th edition is a widely utilized system that assigns numbers to diseases. It dates back to the work of William Farr in nineteenth-century England.
- 8.
The data set of all myocardial infarction admissions in New York City from 1994 to 2004 we used in Chap. 1.
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DiMaggio, C. (2013). Manipulating Data. In: SAS for Epidemiologists. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4854-9_5
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