Author(s)
Michal Ordak, PhD
Department of Pharmacotherapy and Pharmaceutical Care
Faculty of Pharmacy
Medical University of Warsaw
Warsaw, Poland
Primary Audience: Pathologists and Clinical Scientists
Secondary Audience: Residents, Laboratory Technologist/Scientist (Includes all sub-specialty areas), Students, Pathologist Assistants, Laboratory Directors and Educators
Upon completion of this activity, you will be able to:
· explain how outliers can influence the results of correlation analysis in clinical laboratory data;
· describe the potential diagnostic misinterpretations caused by improper correlation analysis;
· identify the differences between Pearson’s and Spearman’s correlation methods in the presence of outliers; and
· recognize the importance of identifying outliers before performing correlation analysis.