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The average absolute differences between the proposed method and the AACC methods were 3.9 and 5.0%, respectively.
Results showed a good agreement with standard clinical measurements: on average, absolute differences resulted 0.74 degree for sagittal rotation, 0.59 mm for translation and 1.02 mm for the x- and y-position of center of rotation.
For the fourth indicator (mean-between profile heterogeneity), the average absolute differences between this means (e.g. average deviation) is estimated.
Average absolute differences between observed and predicted values and Spearman's rank correlations were used to assess predictability.
The average absolute differences between observed and predicted values were 4.8 deaths per 100,000 inhabitants (minimum 0.2, maximum 13.8, 22% of the average observed excess) in the estimation set, and 2.8 (minimum 0.4 maximum 4.6, 18%% of the average observed excess) in the validation set.
Mean squared differences reflect average absolute differences and also take differences in random variation into account.
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The average absolute difference between replicates was 16.2%, with a median absolute difference of 9.5%.
Average absolute difference between model-estimated and observed secchi depth ranged 0.65 1.03 m.
The average absolute difference between simulation predictions and measurements was slightly larger than +4%.
Average absolute difference between polling average and final vote in the ten states closest to the national average with at least three polls.
The average absolute difference for dosimetric metrics from the plunged-depth plan ranged from −4.7 to +3.0 and the average absolute performance results ranged from −6.6% to +3%.
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