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Estimates of species richness may be biased by errors in pyrosequencing data [22], [23] and uneven sampling efforts [24].
Logistic regression can be biased by errors at extreme concentrations, and PCR data often shows concentrations spanning several orders of magnitude.
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It has previously been proposed to use a voting approach to disambiguate non-systematic identifiers when integrating multiple databases, assigning the identifier to the compound to which it was most frequently associated in the databases [29], but this approach may be biased by error propagation when one database includes an erroneous identifier from another database.
Thus, the insulin sensitivity values derived during the cool period could be biased by modelling errors or unmodelled effects.
One might question whether statistics drawn from our phylogeny library could be biased by systematic errors in phylogeny inference.
Although debatable, literature has noted that 'income-related inequality in SAH is unlikely to be biased by reporting error' and 'inequalities in SAH by income do have predictive power for inequalities in survival by income' (33, p. 1621).
It is therefore difficult to predict the degree to which PM2.5 health effects estimates may be biased by exposure measurement error.
Thus, using pol β allows us to examine mechanisms of the microsatellite mutation process in a manner that will not be biased by the inherent error specificity of the polymerase.
Genome-wide association studies can be biased by population stratification and errors in phenotype definition (34).
However, it is also possible that this finding of hyposensitivity in the trapezius muscle could be biased by a type II error and the multiple comparisons of PPT data.
The limitation of this study is the low incidence of events and wide confidence intervals in the measured plasma components, making findings liable to be biased by confounding factors and measurement errors.
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