Clinical SAS Programming: Data Manipulation, Reporting, and CDISC Fundamentals

Master clinical SAS programming for data manipulation, reporting, and CDISC standards to excel in the pharmaceutical and healthcare industries.
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Introduction to Clinical SAS Programming

Unit 1: SAS in Clinical Research

Unit 2: Clinical Trial Process

Unit 3: Data Quality and Integrity

Unit 4: Setting up SAS

Unit 5: SAS Fundamentals

SAS Fundamentals: Syntax and Data Structures

Unit 1: Introduction to SAS Syntax

Unit 2: SAS Data Types and Datasets

Unit 3: SAS Libraries and Data Import

Data Step Essentials: Reading and Writing Data

Unit 1: Introduction to the DATA Step

Unit 2: Input Styles and Data Handling

Unit 3: PUT Statement and Variable Manipulation

Unit 4: Advanced Data Step Techniques

Data Manipulation Techniques: Subsetting and Sorting

Unit 1: Subsetting Data with WHERE

Unit 2: Sorting Data with PROC SORT

Unit 3: Conditional Logic and Datasets

Merging and Concatenating Datasets

Unit 1: Introduction to Merging and Concatenating

Unit 2: Merging Datasets Using the DATA Step

Unit 3: Merging Datasets Using PROC SQL

Unit 4: Concatenating Datasets Using the SET Statement

Data Transformation: Creating and Modifying Variables

Unit 1: Creating New Variables

Unit 2: Modifying Variables with Functions

Unit 3: Advanced Data Transformation Techniques

SAS Procedures: PROC PRINT and PROC CONTENTS

Unit 1: Introduction to PROC PRINT

Unit 2: Advanced PROC PRINT Customization

Unit 3: Introduction to PROC CONTENTS

Descriptive Statistics: PROC MEANS and PROC FREQ

Unit 1: Introduction to Descriptive Statistics in SAS

Unit 2: PROC MEANS: Generating Summary Statistics

Unit 3: PROC FREQ: Analyzing Categorical Data

Unit 4: Advanced Techniques and Applications

Report Generation: PROC REPORT Basics

Unit 1: Introduction to PROC REPORT

Unit 2: Rows and Across Variables

Unit 3: Customizing Report Appearance

Introduction to the SAS Macro Language

Unit 1: Macro Basics

Unit 2: Defining and Calling Simple Macros

Unit 3: Macro Variables

Unit 4: Passing Parameters to Macros

Macro Variables: Definition and Usage

Unit 1: Introduction to Macro Variables

Unit 2: Advanced Macro Variable Techniques

Unit 3: Automatic and System Macro Variables

Macro Programming: Conditional Logic and Looping

Unit 1: Conditional Logic in SAS Macros

Unit 2: Looping Constructs in SAS Macros

Unit 3: Advanced Macro Programming Techniques

Advanced Macro Techniques: Macro Functions and Parameters

Unit 1: Macro Functions: The Basics

Unit 2: Passing Parameters to Macros

Unit 3: Validating Macro Parameters

Introduction to Clinical Data Standards (CDISC)

Unit 1: Introduction to CDISC

Unit 2: SDTM Deep Dive

Unit 3: ADaM Deep Dive

SDTM Fundamentals: Domains and Variables

Unit 1: Introduction to SDTM Domains

Unit 2: Exploring Key SDTM Domains

Unit 3: Mapping Raw Data and Validation

Creating SDTM Datasets from Raw Data

Unit 1: Introduction to SDTM Dataset Creation

Unit 2: Mapping Raw Data to SDTM

Unit 3: SAS Programming for SDTM Creation

Unit 4: Handling Specific Data Scenarios

Unit 5: Validation and Documentation

ADaM Fundamentals: Datasets and Variables

Unit 1: Introduction to ADaM

Unit 2: ADaM Datasets: ADSL

Unit 3: ADaM Datasets: ADAE and ADLB

Unit 4: ADaM Basic Data Structure (BDS)

Unit 5: Analysis Variables

Creating ADaM Datasets from SDTM Data

Unit 1: Introduction to ADaM Conversion

Unit 2: Core ADaM Dataset Creation

Unit 3: Advanced Techniques and Validation

Generating Tables, Listings, and Figures (TLFs)

Unit 1: Introduction to TLFs

Unit 2: Planning and Designing TLFs

Unit 3: Generating TLFs with SAS

Unit 4: Formatting and Standards

PROC REPORT: Advanced Techniques for TLFs

Unit 1: Advanced PROC REPORT Techniques

Unit 2: Customizing Report Appearance

Unit 3: Output and Advanced Features

PROC TABULATE: Creating Summary Tables

Unit 1: Introduction to PROC TABULATE

Unit 2: Creating Frequency and Percentage Tables

Unit 3: Customizing and Formatting PROC TABULATE Output

PROC SGPLOT: Creating Statistical Graphics

Unit 1: Introduction to PROC SGPLOT

Unit 2: Creating Different Plot Types

Unit 3: Advanced SGPLOT Techniques

PROC TEMPLATE: Customizing Output Styles

Unit 1: Introduction to PROC TEMPLATE

Unit 2: Creating Custom Styles

Unit 3: Applying and Managing Styles

Data Validation Techniques in Clinical SAS

Unit 1: Introduction to Data Validation

Unit 2: Implementing Validation Checks in SAS

Unit 3: Using PROC COMPARE

Unit 4: Resolving Data Discrepancies

Unit 5: Documentation and Best Practices

Handling Date and Time Variables in Clinical Data

Unit 1: Understanding SAS Date and Time Values

Unit 2: Converting Between Date and Time Formats

Unit 3: Date and Time Calculations

Working with Character Data: Functions and Techniques

Unit 1: Introduction to Character Data in SAS

Unit 2: Basic Character Functions

Unit 3: Advanced Character Manipulation

Unit 4: Concatenation and Conversion

Unit 5: Real-World Applications

SAS Programming Best Practices for Clinical Trials

Unit 1: Coding Standards and Readability

Unit 2: Documentation and Version Control

Unit 3: Code Review and Testing

Debugging SAS Programs: Identifying and Resolving Errors

Unit 1: Understanding SAS Errors and the SAS Log

Unit 2: Basic Debugging Techniques

Unit 3: Advanced Debugging Techniques and Testing

Introduction to SAS Clinical Data Integration

Unit 1: Understanding Clinical Data Integration

Unit 2: Identifying Data Sources

Unit 3: Integrating Data with SAS

Unit 4: Handling Data Inconsistencies and Ensuring Quality

Data Cleaning and Transformation Techniques

Unit 1: Introduction to Data Cleaning

Unit 2: Handling Missing Data

Unit 3: Correcting Data Errors

Unit 4: Standardizing Data Formats

Unit 5: Transforming Data

Advanced Data Manipulation: Arrays and DO Loops

Unit 1: Introduction to SAS Arrays

Unit 2: DO Loops and Array Processing

Unit 3: Advanced Array Techniques

Working with SAS Output Delivery System (ODS)

Unit 1: Introduction to ODS

Unit 2: Creating Different Output Formats

Unit 3: Customizing ODS Output

Creating Custom SAS Functions

Unit 1: Introduction to Custom Functions

Unit 2: Working with Parameters

Unit 3: Using Custom Functions in Programs

SAS and Regulatory Compliance (FDA, EMA)

Unit 1: Understanding Regulatory Landscape

Unit 2: SAS Techniques for Compliance

Unit 3: Documentation and Submission

Introduction to Statistical Analysis in SAS

Unit 1: Statistical Foundations

Unit 2: SAS for Basic Statistical Analysis

Unit 3: Hypothesis Testing

Linear Regression Analysis using SAS

Unit 1: Introduction to Linear Regression

Unit 2: Performing Linear Regression with PROC REG

Unit 3: Interpreting Regression Results and Assessing Model Fit

Analysis of Variance (ANOVA) using SAS

Unit 1: Introduction to ANOVA

Unit 2: Performing One-Way ANOVA in SAS

Unit 3: Post-Hoc Tests and Reporting

Unit 4: Advanced ANOVA Topics

Categorical Data Analysis using SAS

Unit 1: Introduction to Categorical Data Analysis

Unit 2: Chi-Square Tests and PROC FREQ Options

Unit 3: Logistic Regression and Odds Ratios

Survival Analysis using SAS

Unit 1: Introduction to Survival Analysis

Unit 2: PROC LIFETEST: Estimating Survival Curves

Unit 3: PROC PHREG: Cox Regression Analysis

Longitudinal Data Analysis using SAS

Unit 1: Introduction to Longitudinal Data

Unit 2: Setting Up PROC MIXED

Unit 3: Analyzing and Interpreting Results

Data Visualization Techniques for Clinical Data

Unit 1: Introduction to Data Visualization with SAS

Unit 2: Customizing Basic Graphs

Unit 3: Advanced Graph Types

Unit 4: Interactive Visualizations

Unit 5: Best Practices and Advanced Techniques

Creating Interactive Reports with SAS

Unit 1: Interactive Reporting Fundamentals

Unit 2: Adding Interactivity to Reports

Unit 3: Advanced Interactive Techniques

SAS and Data Security: Protecting Clinical Data

Unit 1: Data Security Fundamentals

Unit 2: Controlling Data Access

Unit 3: Advanced Security Practices

SAS Programming for Data Mining and Machine Learning

Unit 1: Data Mining and ML Fundamentals

Unit 2: Data Prep and Exploration

Unit 3: Predictive Modeling

Unit 4: Model Evaluation and Deployment

Unit 5: Advanced Topics

Introduction to SAS Viya for Clinical Data Analysis

Unit 1: Viya's Core Concepts

Unit 2: Accessing and Managing Data

Unit 3: Running SAS Programs and Deployment

SAS and Cloud Computing: Deploying SAS in the Cloud

Unit 1: Cloud Computing Fundamentals

Unit 2: Deploying SAS in the Cloud

Unit 3: Managing SAS Environments in the Cloud

SAS Programming for Real-World Clinical Trials

Unit 1: Navigating Real-World Clinical Trial Data

Unit 2: Data Manipulation and Integration

Unit 3: Regulatory Reporting and Collaboration

Unit 4: Advanced Techniques and Best Practices

Unit 5: Case Studies and Practical Applications

Case Study: Analyzing Clinical Trial Data with SAS

Unit 1: Introduction to the Case Study

Unit 2: Data Cleaning and Transformation

Unit 3: Descriptive Statistics and Summary Reports

Unit 4: Statistical Analysis

Unit 5: Tables, Listings, and Figures (TLFs)

Advanced SDTM Implementation Techniques

Unit 1: Complex Data Structures in SDTM

Unit 2: Custom SDTM Domains

Unit 3: SDTM Annotations and Extensions

Unit 4: Advanced SDTM Validation Techniques

Unit 5: Addressing SDTM Implementation Challenges

Advanced ADaM Implementation Techniques

Unit 1: Complex ADaM Datasets

Unit 2: Custom ADaM Variables

Unit 3: ADaM Metadata and Annotations

Integrating SDTM and ADaM for Clinical Analysis

Unit 1: Understanding SDTM and ADaM

Unit 2: Creating ADaM Datasets from SDTM

Unit 3: Integrated Analysis and Validation

Unit 4: Ensuring Data Consistency

Unit 5: Advanced Topics

Generating Submission-Ready TLFs

Unit 1: Understanding Regulatory Requirements for TLFs

Unit 2: Formatting TLFs According to Submission Guidelines

Unit 3: Validating TLFs for Accuracy and Completeness

Unit 4: Automating TLF Generation with SAS Macros

Unit 5: Preparing TLFs for Electronic Submission

SAS Programming for Clinical Data Management

Unit 1: Introduction to Clinical Data Management with SAS

Unit 2: Data Quality Control and Validation

Unit 3: Audit Trails and Data Security

SAS Programming for Pharmacokinetics (PK) and Pharmacodynamics (PD)

Unit 1: Introduction to Pharmacokinetics (PK) and Pharmacodynamics (PD)

Unit 2: SAS for Basic PK/PD Analysis

Unit 3: Modeling PK/PD Relationships with SAS

SAS Programming for Medical Writing

Unit 1: Introduction to SAS for Medical Writing

Unit 2: Generating Tables with SAS

Unit 3: Creating Figures with SAS

Unit 4: Advanced Techniques and Automation

SAS Programming for Signal Detection and Safety Analysis

Unit 1: Introduction to Signal Detection and Safety Analysis

Unit 2: SAS for Safety Data Analysis

Unit 3: Signal Detection and Reporting

Advanced SAS Macro Programming for Clinical Trials

Unit 1: Advanced Macro Concepts

Unit 2: Macro Libraries and Reusability

Unit 3: Dynamic Macros and User Input

Unit 4: Debugging and Testing

Unit 5: Clinical Trial Applications

Optimizing SAS Code for Performance

Unit 1: Understanding SAS Performance

Unit 2: System Options for Performance

Unit 3: Indexing Techniques

Unit 4: Code Optimization Techniques

Unit 5: Parallel Processing

SAS Programming for Data Visualization with ODS Graphics

Unit 1: Introduction to ODS Graphics

Unit 2: Advanced Plot Types and Customization

Unit 3: ODS Styles and Templates

SAS Programming for Data Integration with SAS Data Integration Studio

Unit 1: Introduction to SAS Data Integration Studio

Unit 2: Creating and Managing Data Integration Jobs

Unit 3: Advanced Techniques and Automation

SAS Programming for Data Quality Management

Unit 1: Introduction to Data Quality Management

Unit 2: Assessing Data Quality with SAS

Unit 3: Implementing Data Quality Control Procedures

Unit 4: Monitoring and Improving Data Quality

SAS Programming for Risk-Based Monitoring

Unit 1: Introduction to Risk-Based Monitoring

Unit 2: Risk Assessment and Identification

Unit 3: Developing a Risk-Based Monitoring Plan

Unit 4: SAS for Risk-Based Monitoring

Unit 5: Reporting and Documentation

Preparing for a Clinical SAS Programming Interview

Unit 1: SAS Fundamentals Review

Unit 2: Key SAS Procedures and Techniques

Unit 3: Clinical Trial Process and CDISC

Unit 4: Interview Preparation and Best Practices