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. 2022 Mar 15;16:726880. doi: 10.3389/fnins.2022.726880

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Copyright © 2022 Kelly, Ben Messaoud, Joyeux-Faure, Terrail, Tamisier, Martinot, Le-Dong, Morrell and Pépin.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Bland-Altman analysis for London PSG-ORDI versus Grenoble PSG-ORDI. Bland-Altman plot shows the disagreement between average PSG-ORDI (London) and PSG-ORDI (Grenoble) (y axis) as a function of Grenoble PSG-ORDI (x axis), with individual cases stratified into three clinical groups. Bidimensional kernel density estimation plots are superimposed to show the joint distribution of measurement bias within each subgroup. The blue horizontal lines indicate the median, lower and upper bound (5th and 95th centiles) of the measurement bias in the whole sample. The distribution of the disagreement between the 2 methods, stratified by group, is shown on the right, with 3 horizontal lines indicating the median bias within each group. PSG: polysomnography; ORDI: obstructive respiratory disturbance index.