SAS /
SAS Clinical Programming

SAS Clinical Programming

SAS Clinical Programming Online Training:

Who is Eligible:

Any Graduates/Post Graduates are eligible.
Any Functional/technical background consultants are eligible to learn SAS Clinical Programming Online Training.

  • 1

    Statistical Programmer Work Description

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  • 2

    Drug/Device Development Process

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  • 3

    Industry Regulations & Standards

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  • 4

    Your Clinical Trial Colleagues

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  • 5

    Guide the Principles for Statistical Programmer

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  • 6

    Understand the Clinical SAS Programming Training Study

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  • 7

    Program a Task Once & Reuse Your Code Everywhere

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  • 8

    Clinical Trial Data are Dirty

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  • 9

    Use the SAS Macros Judiciously

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  • 10

    A Good Programmer Is a Good Student

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  • 11

    Strive to Make Your Program Readable

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  • 1

    “Clean” Data If They Are Needed for Analysis

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  • 2

    Categorize Data If Necessary

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  • 3

    Avoid the Hardcoding Data

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    Demographics & Trial-Specific Baseline Data

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  • 2

    Concomitant or Prior Medication Data

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  • 4

    Investigational the Therapy Drug Log

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  • 7

    Endpoint/Event Assessment Data

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  • 8

    Clinical Endpoint Committee Data

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  • 10

    Treatment Randomization Data

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  • 1

    SAS/ACCESS SQL Pass through Facility

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  • 2

    SAS/ACCESS LIBNAME Statement

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  • 1

    PROC IMPORT & the Import Wizard

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  • 2

    Import Wizard & PROC IMPORT

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  • 3

    SAS/ACCESS SQL Pass-Through Facility

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  • 1

    Defining the Variables Once

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  • 2

    Defining Study Populations

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  • 3

    Defining Baseline Observations

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  • 4

    Last Observation Carried Forward

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  • 8

    Categorical Data and Why Zero & Missing Results Differ Greatly

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  • 9

    Performing Many-to-Many Comparisons/Joins

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  • 10

    Using Medical Dictionaries

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  • 11

    Other Tricks & Traps in the Data Manipulation

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  • 1

    Critical Variables Data Set

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  • 2

    Change from baseline Data Set

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  • 1

    General Approach to Creating Tables

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  • 2

    A Typical Clinical Trial Table

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  • 3

    Using the PROC TABULATE to Create Clinical Trial Tables

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  • 4

    Using the PROC REPORT to Create Clinical Trial Tables

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  • 5

    Creating the Continuous/Categorical Summary Tables

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  • 6

    Creating the Adverse Event Summaries

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  • 7

    Creating the Concomitant or Prior Medication Tables

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  • 8

    Creating a Laboratory Shift Table

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  • 9

    Creating the Kaplan Meier Survival Estimates Tables

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  • 1

    Creating ASCII Text Output

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  • 2

    Creating Rich Text Format (RTF) Output

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  • 3

    Creating Portable Document Format (PDF) Files

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  • 4

    “Page X of N” Pagination Solutions

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  • 5

    Footnote Indicating SAS Program & Date

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  • 1

    Clinical SAS Programming Training Reporting Systems

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  • 6

    Kaplan Meier Survival Estimates Plot

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  • 1

    Common Clinical Trial SAS/GRAPH Procedures

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  • 2

    Using the Annotate Facility for Graph Augmentation

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  • 5

    Creating an Odds Ratio Plot

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  • 6

    Creating a Kaplan Meier Survival Estimates Plot

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  • 1

    Selecting Graphics Drivers

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  • 2

    Using the ODS Destinations for the SAS/GRAPH

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  • 1

    Using the PROC FREQ to Export Descriptive Statistics

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  • 2

    Using the PROC UNIVARIATE to Export Descriptive Statistic

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  • 1

    Performing a 2×2 Test for Association

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  • 2

    Perform an NxP Test for Association

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  • 3

    Perform a Stratified NxP Test for Association

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  • 4

    Perform Logistic Regression

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  • 1

    Perform a One sample Test of the Mean

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  • 2

    Perform a Two sample Test of the Means

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  • 3

    Perform an N sample Test of the Means

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  • 1

    Using SAS XPORT Transport Format

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  • 1

    Exporting the Data with PROC CPORT

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  • 3

    Exporting the Data to Microsoft Office Files

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  • 4

    Exporting the Other Proprietary Data Formats

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  • 4

    Fixed-Sequence Testing Methods

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  • 5

    Resampling-Based Testing Methods

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  • 6

    Testing Procedures for Multiple Endpoints

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