Abstract
In this chapter we introduce those procedures that are most likely to be of benefit at the earliest stages of epidemiologic analysis. Some relatively simple procedures (MEANS, FREQ, TABULATE) can be used to get descriptive information about your data. Sometimes this may be all you are interested in. More likely, you will use this information to inform and guide further analyses. We will defer for the moment some of the theory underlying these analyses and will return to the topics of categorical and continuous analyses in future chapters.
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Notes
- 1.
We will go into more detail in upcoming chapters.
- 2.
Some users of PROC TABULATE believe it is easier to read the comma-delineated TABLE specifications (page-row-column) from right to left.
- 3.
Note that a simple PROC FREQ with TABLES drg*race2 would basically achieve the same result. Although this is an example of the frequent situation where there is more than one way to achieve something in SAS, you will find, though, that if your interest is in creating tables, PROC TABULATE affords you much more flexibility.
- 4.
New York City consists of five counties (Manhattan, Bronx, Kings, Queens, Richmond).
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DiMaggio, C. (2013). Descriptive Statistics. In: SAS for Epidemiologists. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4854-9_6
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