Blood-glucose measurements in the hypoglycemic range were less accurate than were those in the nonhypoglycemic range among all three devices (odds ratio for error, Glu-ABGs, 1.86, P = 0.15; Gluco-C, 1.84, P = 0.03; Gluco-A, 2.33, P = 0.02).
If the ratios for error are the same as the reviewed group, then at least 4.9% of all samples would have been misclassified, thus challenging many of the statistical results (see Table 1).
However, it should be noted that the accuracy of Gluco-A varied among studies, as stated earlier, and in only three studies were they compared, and the results were conflicting (odds ratios for error, 0.03 to 3.00).
In the hypoglycemic range (defined as < 81 mg/dl), the incidence of errors using these devices was higher than that in the nonhypoglycemic range (odds ratios for error: arterial blood gas analyzers, 1.86, P = 0.15; glucose meters with capillary blood, 1.84, P = 0.03; glucose meters with arterial blood, 2.33, P = 0.02).
The accuracy of blood-glucose measurements by arterial blood gas analyzers and glucose meters by using arterial blood was significantly higher than that of measurements with glucose meters by using capillary blood (odds ratios for error: 0.04, P < 0.001; and 0.36, P < 0.001).
A more viable alternative would be to first calculate error gravity by dividing the number of errors by the total number of tokens in a student's writing and then working out an error ratio for each error type (see Kao and Wible 2014).
Average per UT rate vs. transmit-power-to-noise ratio for varying CSI errors at the BS (J=3, M=128, K=32). Figure 4 shows more directly the relationship between the average achievable UT rates and the TPE order J.
In order to plot the relationship between the data in an intuitive way as a ratio, the ratio and error for growth parameters was calculated by fitting a log-linear model with the strain:media interaction terms and block as the dependent variables using R (R-Project software).
The minimum detectable log rate ratio for a Type 1 error rate of 2 α and a Type 2 error rate of β is then (zα+zβ)√(1/a), where zα and zβ are the quantiles of the standard normal distribution.
Table 7 VAR calculation error ratio for TSE total index at confidence interval 99%% Monte Carlo Halton sequence Sobol sequence Error ratio 0.05 0.05 0.05.
Figure 4 shows the result displayed as a histogram, with the error ratio for the original series shown as a dark line.
