Table 3.
R2adj | ICC | Bias | nRMSE | nMAE | 95% theoretical LoA | 95% empirical LoA | |
---|---|---|---|---|---|---|---|
France | |||||||
Revicki | 0.61 | 0.78 | − 0.09 | 0.112 | 0.072 | − 0.38; 0.20 | − 0.38; 0.08 |
Polynomial regression | 0.72 | 0.85 | 0.00 | 0.075 | 0.052 | ± 0.23 | − 0.19; 0.17 |
Germany | |||||||
Revicki | 0.53 | 0.73 | 0.00 | 0.091 | 0.058 | − 0.22; 0.22 | − 0.18; 0.14 |
Polynomial regression | 0.64 | 0.80 | 0.00 | 0.079 | 0.051 | ± 0.19 | − 0.16; 0.13 |
UK | |||||||
Revicki | 0.68 | 0.82 | − 0.10 | 0.113 | 0.075 | − 0.39; 0.19 | − 0.39; 0.07 |
Polynomial regression | 0.74 | 0.86 | 0.00 | 0.076 | 0.053 | ± 0.25 | − 0.20; 0.17 |
UK United Kingdom, adj adjusted, ICC intraclass correlation coefficient, nRMSE normalized root mean squared error, nMAE normalized mean absolute error, LoA levels of agreement