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Clinical SAS Course Syllabus

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Syllabus for The Clinical SAS Course

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1

    Working in the SAS Environment

    2

    • 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

    3

    • 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

    4

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

    5

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

    6

    • Character function
    • Numerical function
    • Arithmetical function
    • Mathematical function
    • Date Function
    Loops in SAS: Do Loops

    7

    • Do Loop
    • Do While
    • Do Until
    Array

    8

    • Definition of array
    • Example of array
    PROCEDURES

    9

    • 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

    10

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

    11

    • 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

    12

    • 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.
    Introduction of SAS and Clinical research

    13

    • 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

    14

    • 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

    15

    • 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.

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