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SASInstitute A00-282 (Clinical Trials Programming Using SAS 9.4) Certification Exam is a globally recognized certification that validates the knowledge and skills of individuals in the field of clinical trials programming. Clinical Trials Programming Using SAS 9.4 certification exam is designed for professionals who are involved in the planning, implementation, and analysis of clinical trials using SAS software. It is an essential certification for those who want to pursue a career in the pharmaceutical and healthcare industries.
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If you're a programmer, statistician, or data analyst working in clinical research, the SASInstitute A00-282 certification exam is an excellent choice to demonstrate your clinical programming skills. It's a comprehensive exam that evaluates your SAS programming abilities and data management techniques, indicating that you have the essential knowledge and expertise needed to succeed in clinical trials programming.
SASInstitute A00-282 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Report Clinical Trials Results | 10% | - Produce tables, listings, and figures - PROC REPORT and PROC PRINT |
| Topic 2: Macro Programming for Clinical Trials | 15% | - Debugging macros - Macro variables and parameters - Create and call macros |
| Topic 3: Transform or Summarize Clinical Trials Data | 15% | - Data step manipulation - Aggregation and transposition - Derive variables and study days |
| Topic 4: Clinical Trials Data Structures | 10% | - Define.xml and dataset specifications - Clinical domain structures - CDISC standards: SDTM, ADaM |
| Topic 5: Regulatory Submissions | 5% | - Compliance for clinical data reporting - ICH and FDA guidelines |
| Topic 6: Apply Statistical Procedures for Clinical Trials | 15% | - PROC MEANS, FREQ, TABULATE - Basic statistical analysis for clinical data |
| Topic 7: Manage Clinical Trials Data | 5% | - Use SQL and dictionary tables - Access and explore clinical datasets - Clean, merge, and subset data |
| Topic 8: Clinical Trials Process | 5% | - Derive programming requirements from protocol and CRF - Clinical trial lifecycle and protocol |
| Topic 9: Validate Clinical Trial Data Reporting | 20% | - Programming validation techniques - Use PROC COMPARE and log review - Validation principles |
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