February 13th Questions

1) Could you discuss the use of box plots instead of violin plots?

2) With respect to the first example: Is the magnitude of the ratings of the ratings important, or is it more important to focus on ratings of the patients relative to each other?

3) For the second example, would you be able to provide more information regarding performance of each method on individual patients? It would be useful to be able to pair them up to see the correlation of the two methods.

1) For the first example, should each of the physician specific scores be normalized to account for the different range of scores given?

2) Can we consider adding a Wilcoxon signed-rank test to these visual displays to account for non-linear association?

3) In measuring the agreement between physicians in the last example, should each disagreement be weighted the same as each agreement? That is, should every disagreement detract from our measure of associativity more than each agreement?

Q1) Rather than normalising, would there be an advantage to only scaling or centring the specific scores. Q2) Could we perhaps look into a between vs. within physician effect for the scores as a method to better understand the differences. Q3) Should we consider the reliability of the scores when carrying out analyses.

Q1) For example 1 is the scatterplot of the correlations more informative than the boxplot? Q2) In example 2 since we have just 40 patients can be use a non parametric test to understand the agreement? Q3) For the last example will taking proportions be effective?