A00-282 Exam Dumps
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| Certification Provider: | SASInstitute |
|---|---|
| Exam Code / Number: | A00-282 |
| Exam Name: | Clinical Trials Programming Using SAS 9.4 |
| Exam Questions: | 144 |
| Last Updated: | Jul 04, 2026 |
| Corresponding Certification: | SAS Clinical Trials Programming |
(182 Up Votes)To prepare for the SASInstitute A00-282 exam, individuals should have a solid understanding of clinical trial programming and the use of SAS software. They should also be familiar with industry standards and regulations related to clinical trials. There are several resources available for individuals who want to prepare for the exam, including study guides, training courses, and practice exams. It is important to invest time and effort in preparing for the exam to increase the chances of passing it on the first attempt.
The A00-282 certification exam assesses a candidate's knowledge of the SAS programming language, data manipulation techniques in SAS, and clinical trial data structures. It also tests the individual's ability to explore and visualize clinical data, perform statistical analyses, and generate reports. Passing this certification exam is a testament to one's expertise in SAS programming for clinical trials, and it can open doors to new job opportunities in the clinical research field.
SASInstitute A00-282 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Clinical Trials Data Structures | 10% | - Define.xml and dataset specifications - CDISC standards: SDTM, ADaM - Clinical domain structures |
| Topic 2: Macro Programming for Clinical Trials | 15% | - Macro variables and parameters - Create and call macros - Debugging macros |
| Topic 3: Manage Clinical Trials Data | 5% | - Use SQL and dictionary tables - Clean, merge, and subset data - Access and explore clinical datasets |
| Topic 4: Validate Clinical Trial Data Reporting | 20% | - Use PROC COMPARE and log review - Validation principles - Programming validation techniques |
| Topic 5: Apply Statistical Procedures for Clinical Trials | 15% | - PROC MEANS, FREQ, TABULATE - Basic statistical analysis for clinical data |
| Topic 6: Report Clinical Trials Results | 10% | - Produce tables, listings, and figures - PROC REPORT and PROC PRINT |
| Topic 7: Clinical Trials Process | 5% | - Clinical trial lifecycle and protocol - Derive programming requirements from protocol and CRF |
| Topic 8: Transform or Summarize Clinical Trials Data | 15% | - Derive variables and study days - Data step manipulation - Aggregation and transposition |
| Topic 9: Regulatory Submissions | 5% | - ICH and FDA guidelines - Compliance for clinical data reporting |