SAS Clinical Training

SAS Clinical Training

SAS Clinical Training Online is provided by a real time consultant. The experience acquired by our trainer on SAS Clinical Trials, is promisingly helpful to the corporate trainee’s. Our instructors are experts in the implementation and support projects. Spiritsofts always works on real time scenarios. It is extremely useful for the professionals to handle the projects easily in the IT industry.

 

SAS Training for Clinical Trials (with Project)

 

Mode of Training:

Instructor Led online training.

 

SAS Clinical Training 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 text file with delimiters.
  • Creating SAS dataset using structured text file.
  • 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

 

Functions

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

 

Loops in SAS: Do Loops

 

      • Do Loop
      • Do While
      • Do Until

Array

    • Definition of array
    • Example of array

 

PROCEDURES

 

  • 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.

 

GRAPHS

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

 

Advance SAS Topic

 

ProcSql

  • Generate detail reports by working with a single table, joining tables, 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.

 

Macro

  • 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

 

Top ↑