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Applying Metadata Attributes in Analysis Data Sets Using Macro Variables and Proc SQL in SAS
| Content Provider | Semantic Scholar |
|---|---|
| Author | Tsang, Rita |
| Copyright Year | 2010 |
| Abstract | In clinical trials, we create analysis data sets from the case report form (CRF) data to enhance the efficiency of the statistical analysis. We may derive new variables in these analysis data sets. Metadata attributes such as data set labels, variable labels and formats are important and useful to users. Specific metadata attributes are often required as an industry standard, such as the CDISC Study Data Tabulation Model (SDTM), for the regulatory submission. The mapping process however can be cumbersome and manual. This paper will show you how this process can be made easy by using macro variables and PROC SQL in SAS. The SAS macro facility is a tool for text substitution. Using SAS MACRO to apply metadata attributes makes good sense. It can accomplish repetitive tasks quickly and efficiently. The automated process can ensure the accuracy of future updates. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.lexjansen.com/nesug/nesug10/po/po31.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
