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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
- Create and use user-defined and automatic macro variables.
- Describe the contents and purpose of define.xml. Import and Export Clinical Trials Data
- Interpret a Statistical Analysis Plan.
- Explain the principles of programming validation in the clinical trial industry.
- Describe the clinical research process (phases, key roles, key organizations).
- Apply regulatory requirements to exported SAS data sets (SAS V5 requirements). Manage Clinical Trials Data
- Derive programming requirements from an SAP and an annotated Case Report Form.
- Apply ‘observation carry forward' techniques to clinical trials data (LOCF, BOCF, WOCF).
- Create output data sets from statistical procedures. Macro Programming for Clinical Trials
- Automate programs by defining and calling macros.
- Use PROC TTEST to obtain p-values for continuous data (one-sample, paired and two-sample t-tests).
- 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 programming techniques to validate clinical trial data reporting (PROC COMPARE, MSGLEVEL).
- Utilize the log file to validate clinical trial data reporting.
- 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).
- Identify the classes of clinical trials data (demographic, lab, baseline, concomitant medication, etc.).
- Describe the structure and purpose of the CDISC ADaM data model.
- Use ODS and global statements to produce and augment clinical trials reports. Validate Clinical Trial Data Reporting
- Identify and Resolve data, syntax and logic errors.
- Apply categorization and windowing techniques to clinical trials data.
- Calculate ‘change from baseline' results.
- Examine and explore clinical trials input data (find outliers, missing vs. zero values, etc). Transform Clinical Trials Data
- Identify key CDISC principals and terms.
- Use PROC REPORT to produce tables and listings for clinical trials reports.
- Access DICTIONARY Tables using the SQL procedure.
- 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).
- Transpose SAS data sets.
- Describe regulatory requirements (principles of 21 CFR Part 11, International Conference on Harmonization, Good Clinical Practices). Clinical Trials Data Structures
Salary of Clinical Trials Programming Using SAS 9 Accelerated Version (A00-281) Certified Professional
The price of Clinical Trials Programming Using SAS 9 Accelerated Version (A00-281) exam is $180 USD.
Here are the Prerequisite of Clinical Trials Programming Using SAS 9 Accelerated Version (A00-281) Exam
- At least 6 months of practical experience in developing Alexa skills using the Alexa skill kit, including skills that integrate AWS cloud services
- Released an Alexa skill
- Knowledge of any programming language.
Duration, language, and format of Clinical Trials Programming Using SAS 9 Accelerated Version (A00-281) Exam
Format: Multiple choices, multiple answers
- Length of Examination: 2 hours
- Language: English
- Number of questions: 70-75
- Passing score: 70%
SASInstitute A00-281 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Report Clinical Trials Results | 10% | - PROC REPORT, TABULATE, PRINT - Format outputs for regulatory submission - ODS statements for TLFs |
| Topic 2: Macro Programming for Clinical Trials | 15% | - Create and use macro variables - Write reusable macro programs - Debug macro logic |
| Topic 3: Transform or Summarize Clinical Trials Data | 15% | - Subset, merge, and restructure datasets - Apply LOCF/BOCF techniques - Derive analysis variables |
| Topic 4: Clinical Trials Process | 5% | - Interpret Statistical Analysis Plan (SAP) - Clinical research phases and key roles - Regulatory requirements: GCP, ICH, 21 CFR Part 11 |
| Topic 5: Clinical Trials Data Structures | 10% | - Types of clinical trial datasets - Annotated CRF and define.xml - CDISC standards: SDTM, ADaM |
| Topic 6: Validate Clinical Trial Data Reporting | 25% | - Verify consistency of tables/listings/figures - Use PROC COMPARE for validation - Review SAS log for errors/warnings |
| Topic 7: Statistical Procedures for Clinical Trials | 15% | - Generate analysis outputs - Descriptive statistics - PROC TTEST, FREQ, MEANS, UNIVARIATE |
| Topic 8: Manage Clinical Trials Data | 5% | - Handle missing data - Data cleaning and manipulation - Import/export data files |
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