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Mapping CDISC Metadata Attributes: Using Data _Null_ and Proc Datasets in SAS ® .
| Content Provider | Semantic Scholar |
|---|---|
| Author | Tsang, Rita |
| Copyright Year | 2009 |
| Abstract | 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 timeconsuming. This paper will walk you 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. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://support.sas.com/resources/papers/proceedings09/195-2009.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
