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Errors could arise from inaccurate or missing data in a person's profile, or problems with the data the models were trained on.
Such errors could arise from the fact that in the first sample there are no parasites, while in the repeated sample there is parasite DNA.
It is nevertheless important to keep in mind that errors could arise because the samples used for the independent and dependent variables were different.
When employing beta regression to estimate covariate effects on (0,1) response data, researchers should ensure their dispersion sub-model is properly specified, else inferential errors could arise.
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A potential source of error could arise from the derivation of the second moment of area.
A further error could arise from the used measurement device (Bioprofile 100 Plus, see Methods section).
To avoid potential errors that could arise either during sequencing or data assembly, which could adversely affect phylogenetic and molecular evolution analyses, we focused on all identified genes that, after clean up, contained no missing data or gaps in any of the newly sequenced bats.
In order to monitor sequencing errors that could arise from sequencing, phylogenetic inconsistencies were monitored using phylogenetic tools [ 39- 44].
However, anthropometric techniques are prone to errors that could arise, for example, from the inadequate training of personnel.
This does not take into account different types of error which could arise from the presence of homoeologous duplicated loci.
Though a few values for the 0.4 mm effective fiber diameter appear to lie off of the correlation line by more than the 95% confidence interval, these data correspond to the lowest signal levels and are thus more susceptible to systematic error, which could arise from small differences in the measurement systems not corrected for during calibration, as discussed in more detail in Section 4.1.
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