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SAS Clinical

Course Overview:

This online SAS training is designed to train students in applying SAS programming skills to clinical trials. The SAS Clinical training imparts the knowledge and skills required to ensure that clinical data is maintained as per prescribed standards so as to support strategic analysis. Clinical trials methodologies, Acquiring, managing and modifying clinical trials data, Performing statistical analysis and macro programming, Reporting results of the clinical trials, Analyzing safety and diagnostic data.?

Clinical SAS Course Syllabus

  1. Introduction of SAS software.
  2. Industries using SAS
  3. Components of SAS System.
  4. Architecture of SAS system.
  5. Functionality of SAS System.
  6. Introduction of SAS windows

Working in the SAS Environment

  1. Functionality of SAS Windows.
  2. Creating and managing SAS Libraries.
  3. Overview of SAS Data states.
  4. Types of Libraries.
  5. Storing files temporarily and permanently.
  6. Referencing SAS files.

Creation database from raw data

  1. Steps to create a SAS dataset.
  2. Creating SAS dataset using text file.
  3. Creating SAS dataset using text file with delimiters.
  4. Creating SAS dataset using structured text file.
  5. Creating SAS dataset using unstructured text file.
  6. Creating SAS dataset using Excel file.
  7. Creating SAS dataset using Access file.
  8. Creating SAS dataset using values inside the code.

Output delivery system 

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

Combination the dataset

  1. One-o-one reading
  2. One to many
  3. Many to many
  4. Concatenation
  5. Interleaving,
  6. Match merge

Functions

  1. Character function
  2. Numerical function
  3. Arithmetical function
  4. Mathematical function
  5. Date Function

 

Loops in SAS: Do Loops

  1. Do Loop
  2. Do While
  3. Do Until

 

Array

  1. Definition of array
  2. Example of array

PROCEDURES

  1. Procedure Format.
  2. Procedure Contents.
  3. Procedure Options.
  4. Procedure Append.
  5. Procedure Compare.
  6. Procedure Transpose.
  7. Procedure Print.
  8. Procedure Import.
  9. Procedure Export.
  10. Procedure Datasets.
  11. Procedure Tabulate.
  12. Procedure Chart, Gchart, Gplot.
  13. Procedure Report.

GRAPHS

  1. Introduction to graphics.
  2. Introduction to graphics.
  3. Types of Graphics (with latest models)
  4. Defining procedure Graphics.

Advance SAS Topic

ProcSql

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

 

  Macro

  1. Create and use user-defined and automatic macro variables within the SAS Macro Language.
  2. Automate programs by defining and calling macros using the SAS Macro Language.
  3. Understand the use of macro functions.

Introduction of SAS and Clinical Research

  1. SAS role in Clinical Research.
  2. What is Clinical trial?
  3. What is Protocol and role of Protocol in Clinical Research?
  4. Which is playing main role in Clinical Research?

Clinical Trials Data Structures

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

 

 

 

 

 

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