Clinical SAS for Beginners
Kickstart your career in clinical data analysis with this comprehensive introductory course on SAS, tailored for beginners with no prior experience.
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Introduction to Clinical Data and SAS
Unit 1: Clinical Research and SAS Overview
Clinical Research Intro
Clinical Trial Phases
SAS in Clinical Trials
Clinical Data Management
CDM Workflow
Unit 2: Navigating the SAS Environment
Accessing SAS
SAS Studio Overview
SAS EG Overview
SAS Windows Explained
SAS Libraries
Unit 3: Basic SAS Navigation and Operations
Running Your First Program
SAS Help Resources
Setting SAS Options
Importing a SAS Dataset
SAS Best Practices
Introduction to CDISC Standards
Unit 1: Why CDISC Matters
Data Standardization Intro
The Need for Standards
CDISC: A Global Standard
Unit 2: SDTM: The Study Data Tabulation Model
SDTM: An Overview
SDTM Domains Explained
SDTM Variables
SDTM Identifiers
SDTM Controlled Terminology
Unit 3: ADaM: The Analysis Data Model
ADaM: An Overview
ADaM Basic Data Structure
ADaM Variables
ADaM Metadata
Unit 4: SDTM and ADaM Relationship
SDTM to ADaM
Define-XML Explained
CDISC in Action
Importing Clinical Data into SAS
Unit 1: Introduction to Data Importing
Data Importing Overview
SAS Data Set Basics
Importing SAS Datasets
Unit 2: Importing Text Files
CSV File Structure
Importing CSV Files
INFILE Statement Basics
Importing with INFILE
Unit 3: Importing Excel Files
Excel File Structure
Importing Excel Files
LIBNAME Engine for Excel
LIBNAME Code Example
Unit 4: Advanced Importing Techniques
Data Type Considerations
Handling Missing Data
Import Options Impact
Troubleshooting Imports
Exploring Clinical Data with SAS
Unit 1: Introduction to Exploring Data
Exploring Data: Overview
SAS Libraries: Overview
LIBNAME Statement
Referencing SAS Datasets
Listing Datasets
Unit 2: PROC CONTENTS
PROC CONTENTS: Overview
Running PROC CONTENTS
Dataset Attributes
Variable Attributes
Interpreting PROC Output
Unit 3: PROC PRINT and Options
PROC PRINT: Overview
Running PROC PRINT
OBS= Option
FIRSTOBS= Option
Combining OBS= and FIRSTOBS=
Data Cleaning and Validation Techniques
Unit 1: Introduction to Data Quality
Data Quality Matters
Common Data Issues
Data Detective Toolkit
Unit 2: Handling Missing Values
Missing Data: The Why
Missing Value Codes
The IF/THEN Fix
PROC MEANS to the Rescue
Unit 3: Outlier Detection and Handling
What's an Outlier?
Boxplots for Outliers
PROC UNIVARIATE
Winsorizing Data
Unit 4: Data Validation and Consistency Checks
Range Checks
Consistency is Key
Code List Validation
Descriptive Statistics with SAS Procedures
Unit 1: Introduction to Descriptive Statistics in SAS
Descriptive Statistics
SAS Procedures Overview
Your First SAS Program
Unit 2: PROC FREQ: Frequency Tables and Cross-Tabulations
PROC FREQ Basics
One-Way Frequency Tables
Cross-Tabulations
Chi-Square Statistic
Unit 3: PROC MEANS: Summary Statistics
PROC MEANS: The Basics
Common Statistics
BY Statement
CLASS Statement
OUTPUT Statement
Unit 4: PROC UNIVARIATE: Exploring Data Distribution
PROC UNIVARIATE Intro
Histograms
Box Plots
Basic Reporting and Visualization
Unit 1: Introduction to Reporting with SAS
Reporting Overview
SAS Output Delivery System
ODS Basics
ODS Styles
Titles and Footnotes
Unit 2: PROC REPORT Fundamentals
PROC REPORT Intro
COLUMN Statement
DEFINE Statement
Group Variables
Analysis Variables
Unit 3: Basic Visualizations
Visualization Options
PROC GPLOT
PROC SGPLOT
Best Practices
Exporting Results
Data Manipulation Techniques
Unit 1: Merging Datasets in SAS
Intro to Merging
DATA Step: One-to-One
DATA Step: One-to-Many
PROC SQL: The Basics
PROC SQL: Outer Joins
Unit 2: Creating Derived Variables
Derived Variables Intro
Numeric Derivations
Character Derivations
Date Derivations
Using IF-THEN Logic
Unit 3: Subsetting Data and Conditional Logic
WHERE Statements Intro
WHERE with AND/OR
WHERE and Special Operators
IF-THEN: Conditional Logic
DO Loops: Repetitive Tasks