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
- Use ODS and global statements to produce and augment clinical trials reports. Validate Clinical Trial Data Reporting
- Transpose SAS data sets.
- Describe the contents and purpose of define.xml. Import and Export Clinical Trials Data
- Examine and explore clinical trials input data (find outliers, missing vs. zero values, etc). Transform Clinical Trials Data
- Calculate ‘change from baseline' results.
- Access DICTIONARY Tables using the SQL procedure.
- Identify and Resolve data, syntax and logic errors.
- Describe the structure and purpose of the CDISC SDTM data model.
- Create and use user-defined and automatic macro variables.
- Utilize the log file to validate clinical trial data reporting.
- Explain the principles of programming validation in the clinical trial industry.
- Apply categorization and windowing techniques to clinical trials data.
- Automate programs by defining and calling macros.
- Use PROC REPORT to produce tables and listings for clinical trials reports.
- Identify the classes of clinical trials data (demographic, lab, baseline, concomitant medication, etc.).
- Derive programming requirements from an SAP and an annotated Case Report Form.
- 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).
- Apply regulatory requirements to exported SAS data sets (SAS V5 requirements). Manage Clinical Trials Data
- Describe regulatory requirements (principles of 21 CFR Part 11, International Conference on Harmonization, Good Clinical Practices). Clinical Trials Data Structures
- Use PROC FREQ to obtain p-values for categorical data (2x2 and NxP test for association).
- Apply ‘observation carry forward' techniques to clinical trials data (LOCF, BOCF, WOCF).
- Obtain counts of events in clinical trials. Apply Statistical Procedures for Clinical Trials
- Interpret a Statistical Analysis Plan.
- Use SAS procedures to obtain descriptive statistics for clinical trials data (FREQ, UNIVARIATE, MEANS, SUMMARY).
- Create output data sets from statistical procedures. Macro Programming for Clinical Trials
- Identify key CDISC principals and terms.
- Describe the structure and purpose of the CDISC ADaM data model.
- Describe the clinical research process (phases, key roles, key organizations).
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 is the cost of Clinical Trials Programming Using SAS 9 Accelerated Version (A00-281) Exam
- India: 814,141 INR
- Europe: 92,412 Euro
- England: 77,931 Pound
- United States: 101,889 USD
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.
SASInstitute A00-281 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Report Clinical Trials Results | 10% | - Create clinical trial reports - Produce tables, listings, and reports |
| Clinical Trials Programming Concepts | - Clinical trial programming standards and practices - CDISC standards and clinical data structures | |
| Regulatory Submissions | 5% | - Prepare data and documentation for regulatory submission |
| Apply Statistical Procedures for Clinical Trials | 15% | - Analyze clinical trial data - Use SAS statistical procedures |
| Validate Clinical Trial Data Reporting | 20% | - Validate clinical trial outputs - Perform quality control programming |
| Macro Programming for Clinical Trials | 15% | - Automate clinical programming tasks - Create and use SAS macros |
| Transform or Summarize Clinical Trials Data | 15% | - Create derived datasets and variables - Use SAS DATA step programming techniques |
| Manage Clinical Trials Data | 5% | - Apply clinical data management concepts - Import, access, and manage clinical trial data |
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