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SASInstitute A00-282: Clinical Trials Programming Using SAS 9.4 exam is designed for professionals who work with clinical trials data. It is a globally recognized certification exam that validates a candidate's proficiency in this specialized field. In A00-282 exam, candidates are tested on their practical understanding and knowledge of SAS software tools and the best practices for programming in clinical trials.
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SASInstitute A00-282 exam is a challenging exam that requires extensive preparation and study. However, passing the exam can open up a world of opportunities for professionals in the field of clinical trials programming and can help them to advance their careers and achieve their professional goals.
SASInstitute A00-282 exam is designed to test the knowledge and skills of individuals who are interested in working with SAS software for managing, analyzing, and reporting clinical trial data. A00-282 exam focuses on various aspects of clinical trials programming using SAS 9.4, including data manipulation, statistical analysis, and reporting.
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Report Clinical Trials Results | 10% | - Produce tables, listings, and figures - PROC REPORT and PROC PRINT |
| Topic 2: Clinical Trials Process | 5% | - Derive programming requirements from protocol and CRF - Clinical trial lifecycle and protocol |
| Topic 3: Clinical Trials Data Structures | 10% | - CDISC standards: SDTM, ADaM - Define.xml and dataset specifications - Clinical domain structures |
| Topic 4: Apply Statistical Procedures for Clinical Trials | 15% | - PROC MEANS, FREQ, TABULATE - Basic statistical analysis for clinical data |
| Topic 5: Manage Clinical Trials Data | 5% | - Access and explore clinical datasets - Use SQL and dictionary tables - Clean, merge, and subset data |
| Topic 6: Validate Clinical Trial Data Reporting | 20% | - Use PROC COMPARE and log review - Validation principles - Programming validation techniques |
| Topic 7: Macro Programming for Clinical Trials | 15% | - Macro variables and parameters - Debugging macros - Create and call macros |
| Topic 8: Regulatory Submissions | 5% | - ICH and FDA guidelines - Compliance for clinical data reporting |
| Topic 9: Transform or Summarize Clinical Trials Data | 15% | - Aggregation and transposition - Data step manipulation - Derive variables and study days |
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