SASInstitute A00-281 : SAS Certified Clinical Trials Programmer Using SAS 9 Accelerated Version

SASInstitute A00-281 Exam Syllabus Topics:

Reference: https://www.sas.com/en_us/certification/credentials/foundation-tools/clinical-trials-programmer/clinical-trials-programming-accelerated-exam.html

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What is Clinical Trials Programming Using SAS 9 Accelerated Version (A00-281) Exam

This exam validates the candidate's ability for the clinical trial process, access, management and transformation of clinical trial data, statistical procedures and macroprogramming, communication of clinical trial results and validation. clinical trial data reports.

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Here are the topics of Clinical Trials Programming Using SAS 9 Accelerated Version (A00-281) Exam

Candidates must know the exam topics before they start of preparation. Because it will really help them in hitting the core. Our Clinical Trials Programming Using SAS 9 Accelerated Version A00-281 exam dumps will include the following topics:

Clinical Trials Process

• Obtain counts of events in clinical trials. Apply Statistical Procedures for Clinical Trials
• Use PROC REPORT to produce tables and listings for clinical trials reports.
• Explain the principles of programming validation in the clinical trial industry.
• Apply regulatory requirements to exported SAS data sets (SAS V5 requirements). Manage Clinical Trials Data
• Identify the classes of clinical trials data (demographic, lab, baseline, concomitant medication, etc.).
• Use programming techniques to validate clinical trial data reporting (PROC COMPARE, MSGLEVEL).
• Use SAS procedures to obtain descriptive statistics for clinical trials data (FREQ, UNIVARIATE, MEANS, SUMMARY).
• Use system options to debug macros and display values of macro variables in the SAS log (MPRINT, SYMBOLGEN, MLOGIC, MACROGEN). Report Clinical Trials Results
• Use PROC TTEST to obtain p-values for continuous data (one-sample, paired and two-sample t-tests).
• Calculate ‘change from baseline' results.
• Identify and Resolve data, syntax and logic errors.
• Describe regulatory requirements (principles of 21 CFR Part 11, International Conference on Harmonization, Good Clinical Practices). Clinical Trials Data Structures
• Utilize the log file to validate clinical trial data reporting.
• Describe the clinical research process (phases, key roles, key organizations).
• Identify key CDISC principals and terms.
• Use ODS and global statements to produce and augment clinical trials reports. Validate Clinical Trial Data Reporting
• Access DICTIONARY Tables using the SQL procedure.
• Transpose SAS data sets.
• Describe the structure and purpose of the CDISC SDTM data model.
• Use PROC FREQ to obtain p-values for categorical data (2x2 and NxP test for association).
• Create and use user-defined and automatic macro variables.
• Describe the structure and purpose of the CDISC ADaM data model.
• Examine and explore clinical trials input data (find outliers, missing vs. zero values, etc). Transform Clinical Trials Data
• Apply ‘observation carry forward' techniques to clinical trials data (LOCF, BOCF, WOCF).
• Automate programs by defining and calling macros.
• Create output data sets from statistical procedures. Macro Programming for Clinical Trials
• Derive programming requirements from an SAP and an annotated Case Report Form.
• Interpret a Statistical Analysis Plan.
• Describe the contents and purpose of define.xml. Import and Export Clinical Trials Data
• Apply categorization and windowing techniques to clinical trials data.

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Clinical Trials Programming Using SAS 9 Accelerated Version (A00-281) Exam Reference

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