Clinical SAS Online Training (1) - PowerPoint PPT Presentation

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Clinical SAS Online Training (1)

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We Provide Best Industry Standard Clinical SAS Online Training With One Clinical Real Time Project – PowerPoint PPT presentation

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Title: Clinical SAS Online Training (1)


1
  • Clinical Research Basics
  • Drug Development Process,
  • Clinical Research Terminology,
  • Departments and Roles in a CRO,
  • Overview of a typical Clinical Trial,
  • Understanding Clinical Trial Data,
  • FDA,
  • CDISC,

2
  • BASE/SAS
  • Introduction,
  • An Overview of the SAS System, SAS Windows,
  • Introduction to SAS Programs,
  • SAS Naming Conventions,
  • SAS Data Libraries,
  • Creating SAS Datasets,
  • Assigning Variable Attributes,
  • Changing Variable attributes,
  • Understanding DATA Step Processing,
  • Types of errors, Debugging Techniques,

3
  • BASE/SAS
  • Data Cleaning Techniques,
  • Defensive Programming Techniques,
  • Functions
  • Combining SAS Datasets ,
  • Procedures,
  • Understanding ODS (Output Delivery
    System),
  • Conditional Processing ,
  • Arrays

4
  • Advanced SAS
  • Introduction to Macros ,
  • Mechanics of Macro processing ,
  • Macro variables,
  • Macro Programs,
  • Macro functions,
  • Proc SQL,
  • PROC SQL Basics, Selecting Columns,
  • Using Inner Joins ,Using Outer Joins,
  • Joining Multiple Tables

5
  • Statistics
  • Introduction to Statistics and Biostatistics,
  • What is P-Value?,
  • What is Hypothesis Testing?,
  • Using Proc Freq to analyze Categorical Variables
    ,
  • Using Proc Univariate to analyze Continuous
    Variables,
  • Using Proc Corr, Proc Reg ,
  • Using Proc Logistic,
  • Using Proc TTest (One-Sample,Two-sample),
  • Using Proc NPar1way for Non-Parametric Analysis,
  • Using Proc Anova

6
  • SAS/GRAPH
  • Introduction to Graphs and Figures,
  • Different statements used in creating Graphs,
  • Producing Bar and Pie Charts,
  • Producing Scattered Plots,
  • Line Plots,
  • Kaplan Meier Plots

7
  • Clinical Trial Project
  • Understanding CRF(Case Report Form),
  • Protocol,
  • SAP (Statistical Analysis Plan),
  • Mocks (Mock Shells),
  • Specs (Specifications),
  • Classifying clinical trial data,
  • Understanding Issue log,
  • MOM (Minutes of Meeting),
  • SOP(Standard Operating Procedures),
  • SAS programming guidelines,
  • Study populations,

8
  • Clinical Trial Project
  • study day calculation,
  • Windowing data,
  • Transposing data,
  • LOCF,
  • Change from baseline,
  • Creating Safety tables,
  • Creating Efficacy tables,
  • Creating Shift tables,
  • Creating listing report,
  • Validation and QC checks.

9
  • CDISC SDTM Mapping
  • CDISC Scope and Standards,
  • Overview of concepts,
  • SDTM-Implementation,
  • SDTM Standards,
  • Domain models, Domains and assumptions,
  • Special-Purpose Domains,
  • CRF versus SDTM Domains,
  • Mapping Process,
  • Define.xml
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