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UI/Web Professional IT Training CenterBuilding World Class IT Professional Online TrainingOwn your future learning new skills online

UI/Web Professional IT Training Center

CorptechIT has fast become one of the most sought after disciplines by companies today

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Building World Class IT Professional Online Training

For the skilled manpower in high end technology courses like SAP, SAP-MM, SAP-WM, SAP-SRM, SAP-PP, SAP-SD, SAP-FICO, SAP-APO, SAP-BW/BI,SAP HANA and ERP domains.

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Own your future learning new skills online

CorptechIT is all the more effective as it is very flexible and convenient and can be undertaken at any time even by working professionals.

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SAS CLINICAL

CorptechIT provides Online Training by experienced IT professionals. Our faculties dedicated to complete your course as per the schedule given. We record the classes from your end  to refer  the classes once again whenever is required. SAS Clinical Online Training being a really important module, we have taken precise steps in teaching a full-fledged SAS Clinical  Online Training course curriculum that covers all the concepts. Our customer support team  and trainers will solve all your queries as and when required. SAS Clinical  Online Training has got the right training that can fulfill a candidate’s training expectations. We see to that the value and quality of our SAS Clinical  Online Training will not be compromised at all. We will market your resume in USA, UK, SINGAPORE, NEWZELAND, CANADA, AUSTRALIA, JAPAN, SWEDEN, SOUTH AFRICA. We clarify your questions during the training even after the course completion. After completion of training we will help you to assist you to get certified on SAS Clinical . We will give you 100% Satisfaction.

SAS Clinical Online Training Course Content

Clinical Trials Process

  • Describe the clinical research process (phases, key roles, key organizations).
  • Interpret a Statistical Analysis Plan.
  • Derive programming requirements from an SAP and an annotated Case Report Form.
  • Describe regulatory requirements (principles of 21 CFR Part 11, International Conference on Harmonization, Good Clinical Practices).

Clinical Trials Data Structures

  • Identify the classes of clinical trials data (demographic, lab, baseline, concomitant medication, etc.).
  • Identify key CDISC principals and terms.
  • Describe the structure and purpose of the CDISC SDTM data model.
  • Describe the structure and purpose of the CDISC ADaM data model.
  • Describe the contents and purpose of define.xml.

Import and Export Clinical Trials Data

  • Apply regulatory requirements to exported SAS data sets (SAS V5 requirements).

Manage Clinical Trials Data

  • Access DICTIONARY Tables using the SQL procedure.
  • Examine and explore clinical trials input data (find outliers, missing vs. zero values, etc).

Transform Clinical Trials Data

  • Apply categorization and windowing techniques to clinical trials data.
  • Transpose SAS data sets.
  • Apply ‘observation carry forward’ techniques to clinical trials data (LOCF, BOCF, WOCF).
  • Calculate ‘change from baseline’ results.
  • 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).
  • Use PROC FREQ to obtain p-values for categorical data (2×2 and NxP test for association).
  • Use PROC TTEST to obtain p-values for continuous data (one-sample, paired and two-sample t-tests).
  • Create output data sets from statistical procedures.

Macro Programming for Clinical Trials

  • Create and use user-defined and automatic macro variables.
  • Automate programs by defining and calling macros.
  • 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 PROC REPORT to produce tables and listings for clinical trials reports.
  • Use ODS and global statements to produce and augment clinical trials reports.

Validate Clinical Trial Data Reporting

  • Explain the principles of programming validation in the clinical trial industry.
  • Utilize the log file to validate clinical trial data reporting.
  • Use programming techniques to validate clinical trial data reporting (PROC COMPARE, MSGLEVEL).
  • Identify and Resolve data, syntax and logic errors.
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