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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

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

Here is a procedure to register for the Clinical Trials Programming Using SAS 9 Accelerated Version (A00-281) Exam

In order to apply for the Clinical Trials Programming Using SAS 9 Accelerated Version (A00-281), You have to follow these steps

  • Step 1: Visit to Pearson Exam Registration
  • Step 2: Signup/Login to Pearson VUE account
  • Step 3: Search for SAS Business Analytics Administration (A00-250) Exam Certifications Exam
  • Step 4: Select Date, time and confirm with payment method

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

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SASInstitute A00-281 Exam Syllabus Topics:

SectionWeightObjectives
Transform or Summarize Clinical Trials Data15%- Create derived datasets and variables
- Use SAS DATA step programming techniques
Macro Programming for Clinical Trials15%- Create and use SAS macros
- Automate clinical programming tasks
Apply Statistical Procedures for Clinical Trials15%- Analyze clinical trial data
- Use SAS statistical procedures
Report Clinical Trials Results10%- Produce tables, listings, and reports
- Create clinical trial reports
Manage Clinical Trials Data5%- Import, access, and manage clinical trial data
- Apply clinical data management concepts
Validate Clinical Trial Data Reporting20%- Perform quality control programming
- Validate clinical trial outputs
Clinical Trials Programming Concepts- CDISC standards and clinical data structures
- Clinical trial programming standards and practices
Regulatory Submissions5%- Prepare data and documentation for regulatory submission

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