We are receiving a lot of questions about relevant analyses in the Analyse-it Method Validation edition to help in evaluating new diagnostic tests in the fight against COVID-19. Below are some quick links that will help, but contact us if you have questions - we are working as normal.
Also see our latest blog post: Sensitivity/Specificity and The Importance of Predictive Values for a COVID-19 test
Estimators for correlation/association and their properties and assumptions.
Use when a linear function best describes the relationship between the variables.
Susceptible to outliers. Assumes a bivariate normal distribution.
Use when a monotonic function best describes the relationship between variables.
Use when a monotonic function best describes the relationship between the variables. Preferred instead of Spearman correlation because Kendall's tau is the difference between the probability that the two variables are in the same order, versus the probability that the two variables are in different orders.
Robust to outliers.
