Data Normalization for Dummies Using SAS

Life scientists often struggle to normalize non-parametric data or ignore normalization prior to data analysis. Based on statistical principles, logarithmic, square-root and arcsine transformations are commonly adopted to normalize non-parametric data for parametric tests. Several other transformations are also available for normalizing data. However, for many, identification of right transformation for non-parametric data is a tricky job. The objective of this paper is to develop a SAS program that identifies right transformation and normalize non-parametric data for regression analysis.