we provide best clinical sas online training with real time project

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,
ICH,
21 CRF Part 11 guidelines

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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