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Clinical Trials Programming Using SAS 9 Accelerated Version (A00-281) Exam Reference
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For Clinical Trials Programming Using SAS 9 Accelerated Version (A00-281) Certification Exam here is the study guide
Clinical Trials Programming Using SAS 9 Accelerated Version (A00-281): Get our quick guide if you don't have time to read all the page
The SAS Certified Clinical Foundation Accelerated Version certification is considered the reference point for knowledge, skills and proven ability to identify classes of clinical study data (demographic, laboratory and reference data. The SAS Clinical Foundation Accelerated Version certification is a certification a very important passage in the A00-281 program of the SAS Institute certification hierarchy for the planning of clinical studies using the credentials of the accelerated version of SAS 9 confirms that you have a solid knowledge base on the fundamentals of computer science and to support the accelerated version SAS Certified Clinical Foundation For this, it is necessary to eliminate SAS Institute A00-281 Planning of clinical studies using the accelerated version of SAS 9. Exam A00-281 (Planning of clinical studies with version a This SAS 9 Accelerated is one of the fundamental computer exams that must be passed for obtaining certification for the accelerated version of the SAS Certified Clinical Foundation.
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SASInstitute A00-281 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Clinical Trials Data Structures | 10% | - Annotated CRF and define.xml - CDISC standards: SDTM, ADaM - Types of clinical trial datasets |
| Clinical Trials Process | 5% | - Interpret Statistical Analysis Plan (SAP) - Regulatory requirements: GCP, ICH, 21 CFR Part 11 - Clinical research phases and key roles |
| Report Clinical Trials Results | 10% | - PROC REPORT, TABULATE, PRINT - ODS statements for TLFs - Format outputs for regulatory submission |
| Validate Clinical Trial Data Reporting | 25% | - Verify consistency of tables/listings/figures - Review SAS log for errors/warnings - Use PROC COMPARE for validation |
| Transform or Summarize Clinical Trials Data | 15% | - Apply LOCF/BOCF techniques - Subset, merge, and restructure datasets - Derive analysis variables |
| Macro Programming for Clinical Trials | 15% | - Create and use macro variables - Write reusable macro programs - Debug macro logic |
| Statistical Procedures for Clinical Trials | 15% | - Descriptive statistics - Generate analysis outputs - PROC TTEST, FREQ, MEANS, UNIVARIATE |
| Manage Clinical Trials Data | 5% | - Handle missing data - Import/export data files - Data cleaning and manipulation |
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