SAS Certified Clinical Trials Programmer Using SAS 9

SAS Certified Clinical Trials Programmer Using SAS 9

Validates a candidates’ ability to apply SAS programming skills to clinical trials data

Successful candidates should have experience in

  • clinical trials process
  • accessing, managing, and transforming clinical trials data
  • statistical procedures and macro programming
  • reporting clinical trials results
  • validating clinical trial data reporting.

There are two methods available to earn this credential:
– pass the Clinical Trials Programming Using SAS 9 exam
or if you currently hold the SAS Certified Base Programmer for SAS 9 credential:
– pass the Clinical Trials Programming Using SAS 9 – Accelerated Version exam.

SAS Clinical Trials Exam A00-280 Requirement Details:

Required Exam to Appear for Clinical Trials SAS Certification

Candidates who earn this credential will have earned a passing score on the Clinical Trials Programming Using SAS 9 exam. This exam is administered by SAS and Pearson VUE.

  • 95-100 multiple-choice and short-answer questions (must achieve score of 70% correct to pass)
  • 3 hours to complete exam
    Use exam ID A00-280; required when registering with Pearson VUE.

SAS Clinical Trials Programming Exam topics Details:

Clinical Trials Process
  • Describe the clinical research process (phases, key roles, key organizations).
  • Interpret a Statistical Analysis Plan.
  • Derive programming requirements from an SAP and an annotated Case Report Form.
  • Describe regulatory requirements (principles of 21 CFR Part 11, International Conference on Harmonization, Good Clinical Practices).
Clinical Trials Data Structures
  • Identify the classes of clinical trials data (demographic, lab, baseline, concomitant medication, etc.).
  • 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.
  • Describe the contents and purpose of define.xml.
Import and Export Clinical Trials Data
  • Combine SAS data sets.
  • Efficiently import and subset SAS data sets.
  • Access data in an Excel workbook (LIBNAME and PROC IMPORT/EXPORT).
  • Create temporary and permanent SAS data sets.
  • Apply regulatory requirements to exported SAS data sets (SAS V5 requirements).
Manage Clinical Trials Data
  • Investigate SAS data libraries using base SAS utility procedures (PRINT, CONTENTS, FREQ).
  • Access DICTIONARY Tables using the SQL procedure.
  • Sort observations in a SAS data set.
  • Create and modify variable attributes using options and statements in the DATA step.
  • Examine and explore clinical trials input data (find outliers, missing vs. zero values, etc).
Transform Clinical Trials Data
  • Process data using DO LOOPS.
  • Process data using SAS arrays.
  • Retain variables across observations.
  • Use assignment statements in the DATA step.
  • Apply categorization and windowing techniques to clinical trials data.
  • Use SAS functions to convert character data to numeric and vice versa.
  • Use SAS functions to manipulate character data, numeric data, and SAS date values.
  • Transpose SAS data sets.
  • Apply ‘observation carry forward’ techniques to clinical trials data (LOCF, BOCF, WOCF).
  • Calculate ‘change from baseline’ results.
  • Obtain counts of events in clinical trials.
Apply Statistical Procedures for Clinical Trials
  • Use SAS procedures to obtain descriptive statistics for clinical trials data (FREQ, UNIVARIATE, MEANS, SUMMARY).
  • Use PROC FREQ to obtain p-values for categorical data (2×2 and NxP test for association).
  • Use PROC TTEST to obtain p-values for continuous data (one-sample, paired and two-sample t-tests).
  • Create output data sets from statistical procedures.
Macro Programming for Clinical Trials
  • Create and use user-defined and automatic macro variables.
  • Automate programs by defining and calling macros.
  • 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 REPORT to produce tables and listings for clinical trials reports.
  • 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.
  • Utilize the log file to validate clinical trial data reporting.
  • Use programming techniques to validate clinical trial data reporting (PROC COMPARE, MSGLEVEL).
  • Identify and Resolve data, syntax and logic errors.

How to Prepare for SAS Clinical Trials Certification?

Experience is a critical component to becoming a SAS Certified Professional. These resources are designed to help you prepare.

SAS Clinical Trials Certification Online practice exams
SAS Clinical Trials Certification Questions PDF for A00-280

SAS Clinical Trials Certification Books:

  1. SAS Programming in the Pharmaceutical Industry, Second Edition
  2. Clinical Trials: A Practical Guide to Design, Analysis, and Reporting
  3. Introducing the CDISC Standards: New Efficiencies for Medical Research
  4. Validating Clinical Trial Data Reporting with SAS
  5. Implementing CDISC Using SAS: An End-to-End Guide