SAS Macro

Course Overview

This course provides an in-depth understanding of the SAS Macro language, focusing on how to automate repetitive tasks, simplify clinical trial programming, and improve efficiency in SDTM, ADaM, and TFL development. You will gain hands-on experience creating dynamic macros and learn best practices for debugging, validation, and project-level macro design.

Learning Objectives

• Understand the macro facility in SAS and its components.

• Learn to use macro variables, macro functions, and conditional logic.

• Write parameterized, reusable macros to automate data processing.

• Apply macros in SDTM, ADaM, and TFL programming workflows.

• Master macro debugging and error handling techniques.

• Follow industry best practices for clinical programming macros.

Course Modules

Module 1: Introduction to SAS Macro Facility

• Overview of macro processing in SAS

• Macro variable creation and resolution

• Scope and lifetime of macro variables

Module 2: Macro Functions and Logic

• Using macro functions for text substitution

• Conditional statements (%IF-%THEN-%ELSE)

• Looping constructs (%DO-%END, %DO I=)

Module 3: Parameterized and Reusable Macros

• Designing flexible macro programs

• Passing parameters dynamically

• Automating dataset and report generation

Module 4: Advanced Macro Techniques

• Indirect references and macro quoting

• Using %SYSFUNC and %EVAL for computations

• Integrating macros with PROC SQL and DATA steps

Module 5: Debugging and Testing

• Macro debugging tools and system options

• Error tracing and log interpretation

• Developing maintainable and auditable code

Module 6: Practical Applications

• Automating SDTM domain creation

• Generating ADaM datasets with dynamic logic

• Building TFL macros for summary tables and listings

Key Features

• 💻 Hands-on macro programming exercises

• 📊 Real clinical trial case studies

• 📘 Includes advanced macro design templates

• ✅ Focus on automation and code reusability

Who Should Attend

• SAS programmers in clinical research and biostatistics

• Analysts seeking to automate data workflows

• SDTM/ADaM developers aiming to improve efficiency

• Students and professionals preparing for SAS certification

Duration

Approx. 8 hours (including practice sessions and projects)

What You’ll Gain

After completing this course, you’ll be able to independently design and implement SAS macros to streamline data processing, automate reporting, and support high-quality clinical trial submissions.