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SAS® Certified Professional: Clinical Trials Programming Using SAS 9.4 — Requirements & Free Practice

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SAS® Certified Professional: Clinical Trials Programming Using SAS 9.4

Licensing authority: SAS Institute, Inc

Initial by examination
Clinical Trials Programming Using SAS 9.4
All Of
[{"anyOf":["Hold the performance-based Base Programming Specialist for SAS 9.4 credential.","Hold the Advanced Programming Professional for SAS 9.4 credential."]},"Pass A00-282 Clinical Trials Programming Using SAS 9.4.",{"anyOf":["Take the recommended training.","Have equivalent experience."]},"Have at least six months experience as a clinical trials programmer using SAS software."]
Prerequisite Boundary
The Base/Advanced requirement is possession of a SAS 9.4 credential; it is not an instruction to reproduce prerequisite exams in this single-examination task. The support explanation permits taking A00-282 before that prerequisite but withholds the credential until the prerequisite is met; older SAS 9 A00-211/A00-212 awards are not substituted.
Registration
Create a SAS Certification Manager web account and register online through Schedule/Modify Exam Appointment; test centers do not register candidates. Admission at a Pearson VUE site requires two forms of ID, including a photo ID with signature, a photograph and digital signature, and acceptance of the SAS candidate agreement. Normal published fee is USD 180. Scheduling is subject to the provider's appointments and available seats; no individual seat was reserved or verified.

Clinical Trials Programming Using SAS 9.4

Provider
SAS and Pearson VUE
Format
Multiple choice and short-answer questions; short answers may require a numeric answer or a short section of SAS code.
Exam questions
Total questions: 60–70.
Time limit
1 hour 50 minutes
Passing score
68%
Exam fee
USD 180; academic discounts may apply.
Examination outline
  • Clinical Trials Process (5%)
    • Clinical research phases, roles and organizations
    • Programming requirements from SAP and annotated case report forms
  • Clinical Trials Data Structures (10%)
    • Clinical trials domains
    • CDISC principles and terminology
    • CDISC SDTM structure and purpose
    • CDISC ADaM structure and purpose
    • Trace raw data through programming to mapped domains
  • Regulatory Submissions (5%)
    • Regulatory requirements for SAS V5 exported data sets
    • Contents and purpose of define.xml
  • Manage Clinical Trials Data (5%)
    • DICTIONARY tables through PROC SQL
    • Input-data exploration, outliers, missing values and errors
  • Transform or Summarize Clinical Trials Data (15%)
    • Derive variables with categorization and windowing
    • Store and check clinical-trials dates using ISO 8601
    • Reshape data with PROC TRANSPOSE and DATA-step arrays
    • Calculate change from baseline
    • Count clinical-trials events
    • FIRST./LAST. variables
  • Apply Statistical Procedures for Clinical Trials (15%)
    • Descriptive statistics with SAS procedures
    • Select analyses according to data types
    • Identify syntax and semantic errors in statistical procedure code
    • Create output data sets from statistical procedures
    • Program safety and efficacy data following instructions
  • Macro Programming for Clinical Trials (15%)
    • Create macro variables and set parameters
    • Access user-defined and automatic variables
    • Define and call macros to automate tasks
    • Debug macros and display values in the SAS log
  • Report Clinical Trials Results (10%)
    • Tables and listings with PROC REPORT
    • Produce and augment reports with ODS
    • Create, group, overlay and customize graphs
  • Validate Clinical Trial Data Reporting (20%)
    • Programming-validation principles in clinical trials
    • Validate reporting with the SAS log
    • Validation with PROC COMPARE and MSGLEVEL
    • Explain differences between independent validation programs
    • Elements not validated by PROC COMPARE
    • Identify and resolve data, syntax and logic errors
Examination sources