Efficient Quality Control (QC) of SAS Programs: A Detailed Guide with Examples Quality Control (QC) is a crucial process in SAS programming, ensuring that your code produces accurate and reliable results. Efficient QC practices help identify errors early, reduce rework, and ensure the final output is of high quality. This guide provides detailed strategies, examples, and best practices for effectively QCing SAS programs. 1. Understand the Objective and Requirements Before you begin QC, it’s essential to fully understand the objective of the SAS program and the requirements it must meet. This includes understanding the input data, expected output, and any specific calculations or transformations that need to be performed. Example: If you are QCing a program that generates summary statistics for a clinical trial, ensure you understand the statistical methods being used (e.g., mean, median, standard deviation) and the specific variables being analyzed. Knowing the study protocol an...
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