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Clinical Trials Process

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

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For Clinical Trials Programming Using SAS 9 Accelerated Version (A00-281) Certification Exam here is the study guide

Clinical Trials Programming Using SAS 9 Accelerated Version (A00-281): Get our quick guide if you don't have time to read all the page

The SAS Certified Clinical Foundation Accelerated Version certification is considered the reference point for knowledge, skills and proven ability to identify classes of clinical study data (demographic, laboratory and reference data. The SAS Clinical Foundation Accelerated Version certification is a certification a very important passage in the A00-281 program of the SAS Institute certification hierarchy for the planning of clinical studies using the credentials of the accelerated version of SAS 9 confirms that you have a solid knowledge base on the fundamentals of computer science and to support the accelerated version SAS Certified Clinical Foundation For this, it is necessary to eliminate SAS Institute A00-281 Planning of clinical studies using the accelerated version of SAS 9. Exam A00-281 (Planning of clinical studies with version a This SAS 9 Accelerated is one of the fundamental computer exams that must be passed for obtaining certification for the accelerated version of the SAS Certified Clinical Foundation.

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