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SAS Clinical Training

SAS Training for Clinical Trials (with Project)

Training Duration: 50 hours

Course Content / Topics:

  • Introduction of SAS software.
  • Industries using SAS
  • Components of SAS System.
  • Architecture of SAS system.
  • Functionality of SAS System.
  • Introduction of SAS windows

Working in the SAS Environment

  • Functionality of SAS Windows.
  • Creating and managing SAS Libraries.
  • Overview of SAS Data states.
  • Types of Libraries.
  • Storing files temporarily and permanently.
  • Referencing SAS files.

Creation database from raw data

  • ✔ Steps to create a SAS dataset.
  • ✔ Creating SAS dataset using text file.
  • ✔ Creating SAS dataset using structured text file.
  • ✔ Creating SAS dataset using text file with delimiters.
  • ✔ Creating SAS dataset using unstructured text file.
  • ✔ Creating SAS dataset using Excel file.
  • ✔ Creating SAS dataset using Access file.
  • ✔ Creating SAS dataset using values inside the code.

Output delivery system

  • Concepts of output delivery system.
  • How ODS works and viewing output of ODS in different format.
  • HTML, RTF, PDF etc..

Combination the dataset

  • One-o-one reading
  • One to many
  • Many to many
  • Concatenation
  • Interleaving,
  • Match merge


  • Character function
  • Numerical function
  • Arithmetical function
  • Mathematical function
  • Date Function

Loops in SAS: Do Loops

 Do Loop
 Do While
 Do Until
o Definition of array
o Example of array


• Procedure Format.
• Procedure Contents.
• Procedure Options.
• Procedure Append.
• Procedure Compare.
• Procedure Transpose.
• Procedure Print.
• Procedure Import.
• Procedure Export.
• Procedure Datasets.
• Procedure Tabulate.
• Procedure Chart, Gchart, Gplot.
• Procedure Report.


• Introduction to graphics.
• Introduction to graphics.
• Types of Graphics (with latest models)
• Defining procedure Graphics.

Advance SAS Topic

• Generate detail reports by working with a single table, or using set operators in the SQL procedure.
• Generate summary reports by working with a single table, joining tables, or using set operators in the SQL procedure.
• Construct sub-queries and in-line views within an SQL procedure step.
• Compare solving a problem using the SQL procedure versus using traditional SAS programming techniques.


  • Create and use user-defined and automatic macro variables within the SAS Macro Language.
  • Automate programs by defining and calling macros using the SAS Macro Language.

Understand the use of macro functions.

Introduction of SAS and Clinical research

  • SAS role in Clinical Research.
  • What is Clinical trial?
  • What is Protocol and role of Protocol in Clinical Research?
  • Which is playing main role in Clinical Research?

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.

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.

Additional Support:
• Clinical Project

  • Request Demo

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