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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
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
- Use PROC TTEST to obtain p-values for continuous data (one-sample, paired and two-sample t-tests).
- Examine and explore clinical trials input data (find outliers, missing vs. zero values, etc). Transform Clinical Trials Data
- Calculate ‘change from baseline' results.
- Create and use user-defined and automatic macro variables.
- Transpose SAS data sets.
- Apply categorization and windowing techniques to clinical trials data.
- Identify and Resolve data, syntax and logic errors.
- Access DICTIONARY Tables using the SQL procedure.
- 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.
- Describe the contents and purpose of define.xml. Import and Export Clinical Trials Data
- Describe the clinical research process (phases, key roles, key organizations).
- Use SAS procedures to obtain descriptive statistics for clinical trials data (FREQ, UNIVARIATE, MEANS, SUMMARY).
- Use PROC REPORT to produce tables and listings for clinical trials reports.
- Describe the structure and purpose of the CDISC ADaM data model.
- Interpret a Statistical Analysis Plan.
- Utilize the log file to validate clinical trial data reporting.
- Obtain counts of events in clinical trials. Apply Statistical Procedures for Clinical Trials
- Describe the structure and purpose of the CDISC SDTM data model.
- 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).
- Identify key CDISC principals and terms.
- Apply ‘observation carry forward' techniques to clinical trials data (LOCF, BOCF, WOCF).
- Explain the principles of programming validation in the clinical trial industry.
- Identify the classes of clinical trials data (demographic, lab, baseline, concomitant medication, etc.).
- Use PROC FREQ to obtain p-values for categorical data (2x2 and NxP test for association).
- Create output data sets from statistical procedures. Macro Programming for Clinical Trials
- Automate programs by defining and calling macros.
- Describe regulatory requirements (principles of 21 CFR Part 11, International Conference on Harmonization, Good Clinical Practices). Clinical Trials Data Structures
All kinds of exams are changing with dynamic society because the requirements are changing all the time. To keep up with the newest regulations of the SAS Certified Clinical Trials Programmer Using SAS 9 Accelerated Version exam, our experts keep their eyes focusing on it. Our A00-281 test material is updating according to the precise of the real exam. Our SAS Certified Clinical Trials Programmer Using SAS 9 Accelerated Version exam dumps will help you to conquer all difficulties you may encounter.
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
- Number of questions: 70-75
- Passing score: 70%
- Language: English
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