UniODA vs. McNemar’s Test for Correlated Proportions: Diagnosis of Disease Before vs. After Treatment

Paul R. Yarnold

Optimal Data Analysis, LLC

McNemar’s test is used to assess the significance of the difference between two correlated proportions: for example when the two proportions are based on the same sample of subjects or on matched-pair samples. This methodology is compared with UniODA using two examples in disease diagnosis before vs. after treatment.

View journal article