The National Occupational Respiratory Mortality System: Deployment of SAS/IntrNet Application Dispatcher Queries Using SAS Component Language (SCL) Macros
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2006/09/17
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By Wood JM
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Description:Long-term viability of the system required developing effi-cient algorithms for processing all possible variable combi-nations and outcomes while minimizing file size and maximizing the processing speed. File size was substan-tially reduced by representing cause-of-death outcomes as dummy variables (yes vs. no). Nested macro subroutines and macro variables were developed for reuse in similar processes. Examples include a subroutine for calculating numbers of deaths that also functions as the first step in calculating death rates; macro variables that control the processing of any combination of selected demographic criteria; and nested subroutines that process one or more disease selections. By using WHERE clauses with proce-dure statements, and by indexing prior to merging multiple data sets, we observed shorter processing time. Consid-ering all enhancements, some queries with previous proc-essing times of minutes now often execute in fewer than 10 seconds. NORMS is a useful tool for implementation of a long-term NIOSH strategic goal of dissemination of occupational surveillance data for research purposes and disease pre-vention. [Description provided by NIOSH]
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Pages in Document:1-10
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NIOSHTIC Number:nn:20031301
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Citation:Northeast SAS Users Group Inc. 19th Annual Conference Proceedings, September 17-20, 2006, Philadelphia, Pennsylvania. Heidelberg, Germany: SAS Institute, 2006 Sep; :1-10
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Federal Fiscal Year:2006
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Peer Reviewed:False
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Source Full Name:Northeast SAS Users Group Inc. 19th Annual Conference Proceedings, September 17-20, 2006, Philadelphia, Pennsylvania
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Main Document Checksum:urn:sha-512:124c26def17ceaa6e37aecbb86ed009c6881a3035258fd06f31e401d91752fbaeba97ea3c63b4363be8137b3959e82c1034ccc70b351efa998547731459a596c
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