AppendixStatistical Analysis Agreement • June 26th, 2017
Cohen’s kappa coefficient (κ) was used to evaluate interobserver agreement for first- choice diagnosis. Weighted kappa coefficient (κw) was used to evaluate interobserver agreement for an estimation of the probability of each diagnosis. This approach has been used in previous investigations of interobserver agreement for the diagnosis of diffuse lung diseases (1, 2). The percentage diagnostic likelihood given for each diagnosis was converted to a 5-point scale (0–4), representing clinically useful probabilities: 0 = condition not included in the differential diagnosis, 1 = low probability (5–25%), 2 = intermediate probability (30–65%), 3 = high probability (70–95%), and 4 = pathognomonic (100%). For example, if the differential diagnoses given by a physician were IPF (70% diagnostic likelihood), NSIP (20% diagnostic likelihood) and hypersensitivity pneumonitis (10% diagnostic likelihood), the probability grades for IPF, NSIP and hypersensitivity pneumonitis for this case would be 3, 1
Appendix AStatistical Analysis Agreement • October 10th, 2019
Figure S2. Bland-Altman plots of differences between GH space values, displayed in pixels (A) percentages (B) and log-transformed
AGREEMENT BETWEEN OBSERVATION AND THEORETICAL MODEL: ANDERSON DARLING STATISTICStatistical Analysis Agreement • June 3rd, 2015
The values calculated by the implemented program for estimation are concordant with the values obtained by Monte Carlo simulation for 10-9 ≤ p ≤ 1-10-9 with relative standard deviation in average per pooled sample containing whole data for 2 ≤ n ≤ 46 less than 0.1‰.
