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
Exclude observations, such as outliers or influential observations, from analysis to see their effect on the results.
Before you exclude observations from the analysis, you should fully investigate them. Rather than a nuisance, outliers can sometimes be the most interesting and insightful observations in the data.
The observations will be excluded (or re-included) in future
Observations to exclude from the analysis are enclosed in square brackets (for example,  or [Male]) in the dataset. Excluded observations are treated the same as missing values by an analysis.
We recommend you attach an Excel comment to the cell to document the reason for excluding the observation.