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Correction of RAS, however, only marginally reduced the error of true differences between two sample groups and those obtained by allelotyping.
The accuracy was calculated as 2.9%% (mean error of true value) and the precision as 1.6% (coefficient of variance), it was sensitive to 0.27 μg/mL with 95% confidence [ 7].
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Figure 1 The true state x ( t ) and its estimate x ˆ ( t ). Figure 2 The error of the true state x ( t ) and its estimate x ˆ ( t ).
For example, the difference in the prediction errors of the true and the complex model structure was, in average 2.03 % of the prediction error of the true model structure obtained with the Sln1/Sho1 scheme.
When the absolute error cannot reflect the error of the true size, the relative absolute error and root relative squared error can reflect the size of the error by the proportion of the error to the true value.
Table 2 shows the Type I error of the true, observed and corrected analyses for nine pairs of percent ascertainment levels.
According to the WVS+ product specifications and metadata (NGA-WVS+, 2000), the accuracy of WVS+ 1 250 000 data layer requires that 90percentt of all identifiable shoreline features be located within 500 metres (2.0 mm at 1 250 000) circular error of their true geographic positions with respect to the WGS84 datum.
A sample size of 177 patients was estimated for both hospitals combined and was calculated to ensure that the overall HRQOL is estimated to within ± 3.25 error of the true HRQOL (on 0 100 scale) with 95% Confidence interval, assuming non-response rate of 10%.
For the 2,565 SNPs that showed more than two alleles, we only considered the most frequently observed minor allele because tri- or tetra-allelic SNPs are very rare [ 31] and it is likely that most other minor alleles represented sequencing errors instead of true sequence variants.
In Table 1, 'Facts in error: initial' reports the number of errors identified by the validators before correction; 'Facts in error: final' reports the number of true errors after subsequent analysis.
Testing multiple hypotheses may give many false positives (Type I error: incorrect rejection of true null hypothesis ).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com