Data analyses for all tasks were performed using more stringent classification criteria for bilingualism and musician status (Appendix 2 and 3).
Accordingly, we ran three models: the first two used the liberal classification for accuracy (and replicated the models we ran in Experiment 1), and the other examined the more stringent classification, DL.
Further analyses using more stringent classification criteria for bilingualism and musician status were conducted in order to establish that our sample selection criteria for the present study was comparable to that of other literature examining bilinguals and musicians (Bidelman et al., 2013; Paap & Greenberg, 2013).
A more stringent classification that excluded such nodes would have resulted in a more concordant set of gene expression profiles.
To investigate whether classification sensitivity and specificity could be improved we applied a series of more stringent classification thresholds for the DCC-derived classifier specifically (see Methods).
However, the lower prevalence (1.1%, 2.9% and 3.7% respectively) of these end-points resulting from the more stringent classification meant that statistical power to detect differences was reduced.
Likely explanations for the high overcorrection rate in the present study include the relatively short follow-up period, the more stringent classification of an overcorrection and possible variation in practice between individual surgeons.
When the more stringent classification of Landis and Koch [ 38] is used (i.e. < 0.00 poor; 0.00 0.20 slight; 0.21 0.40 fair; 0.41 0.60 moderate; 0.61 0.80 substantial and 0.81 1.00 almost perfect), it can be concluded that the EQ-5D and the EQ-5D+C performoderatelytely with regard to the construct validity.
Next we considered whether any factors affected our more stringent accuracy classification, that is, being correct on both the detection and location tasks (DL).
A second model to capture only the patients who fell into the more stringent severity classification (2 or 3 Yes answers) may have resulted in a better performing model but the decision to use the less stringent measure was in line with the parameters for control in the RCP-3Q model.
