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However, by analyzing the difference in accuracy of the classical approach and ridge regression for different values of N, P, trait heritability, and the fraction of causal variants, we are able to extrapolate the performance of ridge regression for large scale initiatives.
These findings agreed with Lee et al. [33] and Carr et al. [42] who found significant difference in accuracy of indirect technique with angulated implants, while no difference in accuracy of direct technique up to 10° and 15° angulations, respectively.
Thus, we attribute the modest difference in accuracy of the minimum-evolution methods with SPRs to FastTree's heuristics.
With low substitution rates, however, the difference in accuracy of MP over UMP, NJ, SP, and SD in general faded away.
We excluded four subjects who showed a difference in accuracy of more than 10% between the Local and Global conditions, to avoid confounding the interpretation of the imaging findings by differential performance between the Local and Global conditions.
There was little difference in accuracy of selection with Npresel = 1000 or 2000 (Table 3).
Similar(38)
MDCT and MRI had accuracies of 37.5%/50% for T1 stage and 81.2%/88.7% for T2 stage, respectively, with no significant difference in accuracy for evaluation of T3/T4 tumors.
The results of the comparison show that, due to different choices in the two steps, significant differences in accuracy of the estimate exist.
Large differences in accuracy of weight estimation in different ethnic groups.
In general the differences in accuracy of prediction between models including different number of SNP are small, and are small compared to their standard error.
The differences in accuracy of portrayal varied across stations and tracks (different SPs portraying the same case).
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