SAS Macros for Efficient Clinical Data Validation and Cleaning

In clinical trials, ensuring the integrity and accuracy of data is critical for regulatory compliance and the validity of study outcomes. Data validation and cleaning processes are labor-intensive and prone to errors when done manually, particularly in large-scale studies. SAS macros offer a solution by automating the identification and rectification of data anomalies, ensuring consistency, and reducing human error. This white paper explores the use of SAS macros for efficient data validation and cleaning, providing detailed examples and discussing reusable macros for multi- study applications. It also presents a case study from a global cardiovascular trial and examines future trends, such as AI-assisted data cleaning within SAS environments. Keywords: SAS Macros, Data Cleaning, Data Quality Assurance, Data Integrity in Clinical Trials, Regulatory Compliance in Clinical Trials, Multi-Study Data Validation