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• 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

Here are the solution for the Clinical Trials Programming Using SAS 9 Accelerated Version (A00-281) Exam

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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
• Passing score: 70%
• Number of questions: 70-75
• Language: English

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