Automating Clinical Data Cleaning and Analysis Using SAS Macros

Abstract

Clinical trials data complexity involves integrating various data elements like demographic, laboratory, clinical, medication, and medical history, which are valuable but often lack completeness and cleanliness. Maintaining data integrity and cleanliness in clinical trials data requires strategic planning and execution of data edit checks, cleaning, and documentation using SAS procedures like PROC UNIVARIATE and PROC FREQ.