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The difference between the two estimation methods was 0.11 on average.
Among those with electronic systems in both quarters two and three, five ART facilities had acceptable levels of agreement between the two estimation methods.
It is important to note that Bayesian estimates remained more precise in the larger populations but the differences in precision between the two estimation methods were minor (eg, median SE was approximately 0.27 years larger for adjusted Chiang II in populations ranging between 25 000 and 30 000 compared with the Bayesian model) and the practical significance of these differences are small.
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The difference between the two estimations is not as striking as differences in estimates of the total number of sorting paths.
The differences between the two estimations of Q are about 50%, which is the uncertainty owing to the model difference of the velocity structure.
A good correlation was found between the two estimations.
Table 5 shows the analysis of bias between Cr-EDTA and the two estimation methods stratified by age.
Correlation between estimated blood pressure values from the two estimation models and the standard value was first analyzed, as shown in Figure 2. It appears that both estimation models could provide an acceptable estimation on SBP as the correlation coefficient R around 0.96 (P < 0.001) for the estimation results derived from two models.
The variability does not seem to differ much between the three estimation methods.
To illustrate the differences between the four estimation methods from an established database, analyses were performed on data from the international CAPO dataset (see [ 3, 28] for details).
Again, a good agreement between these two estimations over the broad-band frequency range demonstrates the validity of the approach.
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