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The results of our sensitivity analysis of air sac volumes largely concurs with previous analyses and assertions that suggest errors in lung volumes will have relatively little effect on body mass predictions in dinosaurs [7], [44].
In discordant cases, and for inversion heterozygotes, our results suggest errors in two previous analyses or discordance between genotype and karyotype.
Other proposed approaches are based on the use of experimental information to detect inconsistencies with model predictions that may suggest errors in model formulation [ 28, 29].
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Birth weight and gestational duration data for remaining births were examined to exclude combinations so unlikely as to suggest error in the gestational datum.
As Koby et al. [ 12] suggest, errors of omission can occur in situations where the decisions are physician-dependent.
The estimate is nevertheless comparable to prevalence of 5.3% and 6% in neighboring Congo and 8% in Nigeria suggesting error may be marginal [ 6, 7].
For example, the reporting of sensitivity, specificity and intra-class correlation coefficients may suggest systems perform accurately, when Bland-Altman plots of the same data suggest substantial errors in algorithm counts compared to the manual cough counts for individual subjects [ 8, 9].
Increasing data suggest that errors in medicine occur frequently and result in substantial harm to the patient.
Both conventional wisdom and empirical research suggest that errors in writing impact perceptions of both writing quality and characteristics of the author.
Comparisons between simulations and experiments suggest that errors in the self-diffusion and thermodynamic models are responsible for the differences, and show that dissolution experiments could be a powerful way of testing and calibrating these and similar models.
Optical maps can also suggest potential errors in the scaffold assembly [ 11, 12].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com