Am testing data from a clinical device; data was extracted using two complementary methods
- Method 1: Existing method, 17 variables
- Method 2: New method, 13 variables
I need to quantitatively and visually explain that the **information content / mutual information** of both methods are the same.
I have correlation data but I am looking for an intuitive way to explain that irrespective of differences in number of variables between the data extraction methods and direction of correlation the information captured by methods are comparable.
Please let me know your thoughts, thanks in advance !
Cross-posted from here