Data Mining - Analysis White Papers
Mapping CDISC Metadata Attributes: Using Data _Null_ and Proc Datasets in SAS
Overview In the pharmaceutical environment, the CDISC Study Data Tabulation Model (SDTM) provides the framework for how clinical data should be submitted to the regulatory authority, such as the US Food and Drug Administration (FDA). Specific metadata attributes, such as variable type, length, control terminology, and variable label, are established to standardize the data format in the industry. The process of mapping these attributes can be tedious and time-consuming. This paper will walk one through how it can be made more automated by using Data _Null_ and Proc Datasets in a step-by-step approach. This automated process can help save time in manual programming and to ensure the accuracy of the updates.
| Publisher | SAS Institute | File Format | |
|---|---|---|---|
| Date Published | February 2009 | ||
| Format | White Papers | ||
| Topics | |||
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