A00-282

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Introduce SAS Institute A00-282 Exam

The SAS Certified Professional: Clinical Trials Programming Using SAS 9.4 is a prestigious certification from SAS that signifies one’s abilities to:

1. Understand the process and data structures of clinical trials.
2. Access, manage, and modify clinical trials data.
3. Implement statistical procedures for analyzing clinical trials data.
4. Use macro programming for manipulating clinical trials data.
5. Document the results of clinical trials.
6. Authenticate the reporting of clinical trials data.

To achieve this certification, candidates must pass the A00-282 exam. The exam consists of 60-70 multiple-choice and short-answer questions, with a total duration of 110 minutes. A minimum score of 68% is required to pass. Prior to taking the A00-282 exam for the SAS Certified Professional: Clinical Trials Programming Using SAS 9.4 certification, candidates should:

• Fulfill the prerequisite of holding either the Base Programming Specialist or the Advanced Programming Professional certification.
• Complete the recommended training or possess equivalent experience.
• Have at least six months of experience working as a SAS programmer for clinical trials.

Learning A00-282 Exam Objectives Is Strongly Recommended

• Describe the clinical research process (phases, key roles, key organizations).
• Derive programming requirements from an SAP and an annotated Case Report Form.
• Identify the clinical trials domains.
• Identify key CDISC principals and terms.
• Describe the structure and purpose of the CDISC SDTM data model.
• Describe the structure and purpose of the CDISC ADaM data model.
• Trace data through the full programming process, from raw data to any of the mapped domains.
• Apply regulatory requirements to exported SAS data sets (SAS V5 requirements).
• Describe the contents and purpose of define.xml.
• Access DICTIONARY Tables using the SQL procedure.
• Examine and explore clinical trials input data (find outliers, missing vs. zero values).
• Derive variables by applying categorization and windowing techniques to existing variables.
• Store dates in a form that is acceptable for use with clinical trials
• Reshape SAS data sets:
• Calculate ‘change from baseline’ results.
• Obtain counts of events in clinical trials.
• Use FIRST./LAST. variables
• Use SAS procedures to obtain descriptive statistics for clinical trials data (FREQ, UNIVARIATE, MEANS, SUMMARY).
• Given information on data types (categorical vs. quantitative), determine whether a procedure can produce the requested analysis.
• Given sample code from a statistical procedure, identify syntax and/or semantic errors. (PROC FREQ, PROC TTEST, GLM, REG, )
• Create output data sets from statistical procedures.
• Follow instructions to be able to program for both Safety and Efficacy data.
• Create macro variables and set macro parameters.
• Access user-defined and automatic variables.
• Automate repeated tasks by defining and calling macros.
• Use system options to debug macros and display values of macro variables in the SAS log (MPRINT, SYMBOLGEN, MLOGIC,).
• Use PROC REPORT to produce tables and listings for clinical trials reports.
• Use ODS statements to produce and augment clinical trials reports.
• Create and work with graphs
• Explain the principles of programming validation in the clinical trial industry.
• Utilize the log file to validate clinical trial data reporting.
• Use programming techniques to validate clinical trial data reporting (PROC COMPARE, MSGLEVEL).
• Determine why two independent validation programs led to a different result.
• Identify elements that are not validated when comparing via PROC COMPARE. (titles, footnotes, and attributes such as formats or labels depending on how they are added to a PROC-like REPORT)
• Identify and Resolve data, syntax, and logic errors.

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