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JESUS 15Beginning TutorialsUsing SAS Indexes with Large Databases Alex Vinokurov, Omnivore Clinical Research, King of Prussia, PA Lawrence Helpers, Omnivore Clinical Research, King of Prussia, ABSTRACT This
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To fill out using SAS indexes, follow these steps:
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Define the data set that you want to fill out using SAS indexes.
03
Determine the variable that you want to use as the index or key.
04
Sort the data set by the index variable in ascending order.
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Use the SET statement to read the data set into a SAS program.
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Use the BY statement to specify the index variable.
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Use the RETAIN statement to retain the values of variables across iterations.
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Use the OUTPUT statement to write each filled out observation to a new data set.
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Repeat steps 4-7 until all observations have been processed.
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Save the filled out data set for further analysis or reporting.

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SAS indexes can be useful for anyone working with large data sets or data tables where fast access based on a specific key is required. This can include data analysts, statisticians, programmers, researchers, and anyone else analyzing or manipulating data using SAS software.
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The SAS indexes are used with SAS datasets to improve performance of data retrieval operations.
Users who work with large datasets in SAS and need to optimize data access may use SAS indexes.
To use SAS indexes, you need to create and maintain them using PROC DATASETS or the IDXCREATE procedure.
The purpose of using SAS indexes is to speed up data retrieval by allowing SAS to quickly locate and access specific data values.
The information reported when using SAS indexes includes the variables indexed, the type of index, and the indexing criteria.
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