To reduce the number of false positives we used the maximum of the actual error variances for a gene and the average error variance estimated from 500 genes with similar signal intensity.
Model-based reliability was also evaluated using unstandardized loadings and error variances obtained from the final CFA model [ 32].
Upon dividing the forecast errors in the test data by their standard deviations in the training data, the scaled forecast error variances range from 0.87 to 1.07 for the seven CC categories (ideally, these ratios should be near 1).
However, this does not seem to be a significant limitation as the error variances arising from the variance between raters only account for 2.6% of total variance in the total checklist scores and has no influence on the total variance in global rating scores (Table 2).
As seen in Table 2, the error variances arising from the interaction effects in particular (pr, pc, rc and prc,e effects) accounted for an increasing proportion of the total variance in scores when global rating scores were used (31.5%), compared to when total checklist scores were used (6.9%).
When allocating error variances to observatory series, residuals from smooth fits to individual series, or from an initial time-dependent global field model prediction, have sometimes been considered.
From the converted error variances (Table 2), it is seen that the cord blood mercury gives the most precise reflection of the true exposure.
Finally, Tables 5 and 6 contain the averages, the standard deviations, and the precision performances of the change-point estimates under a step shift in the error variance from (sigma_{0}^{2}) to (sigma_{1}^{2} = gamma sigma_{0}^{2}).
The total size of GA was measured in the processed FAF images by automated imaging analysis software that uses region-growing techniques to segment the areas of GA. [42] This procedure significantly reduced the estimated within-group error variance from 0.761 mm2/year, 95% CI [0.645; 0.898] previously [32] to 0.212 mm2/year, 95% CI [0.182; 0.246].
Considering the larger contribution to the model error variance from the former, the overestimation is a concern.
