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Truly synergistic or antagonistic mixtures have a 10 50% chance of being falsely categorized as additive (false negative rate).
FN refers to pixels of vessels (according to ground truth data) missed by the algorithm, and FP refers to pixels falsely categorized by the algorithm as vessel.
Coding "not applicable" as "no" would have had the following potential consequence: e.g. if a participant is willing to disclose the whole data-set except one item which is not applicable to his context, he would have been falsely categorized as completely reluctant (i.e. "0" in regression analysis).
Our definition, however, covered the incubation period of common diarrheal pathogens found in Bangladesh, 39, 40 including Salmonella typhi, Shigella sp., Campylobacter sp., enterohemorrhagic E. coli (EHEC), and rotavirus, 38, 41 suggesting that cases we missed or patients we falsely categorized as cases likely had little impact on our estimation.
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In addition to the charge related to the tunnel work, the federal statement says that Modern Continental "engaged in a scheme of overbilling" by "falsely categorizing apprentice workers as journeymen".
In clinical settings, DBS methods may falsely categorize many patients as failing therapy.
This result indicates that the potential error added by falsely categorizing endemic genera is likely to be small.
To minimize the likelihood of falsely categorizing an identified protein as PhoP-regulated in one strain but not another, once we identified a protein to be significantly regulated in any strain following multiple comparison correction, we considered it significantly regulated in any other strain with an uncorrected p value of ≤0.2.
Falsely categorizing a substance as positive or negative due to specific characteristics of the tested cells is always a risk in cytotoxicity screens.
As a result, with the use of the metabolic markers, one might falsely categorize a person with impaired kidney function to have a vitamin B-12 deficiency and (less likely) to not have a deficiency with the use of holoTC.
When a sample's proliferation value is near the cut-off value and cancer cells outside of the initial hotspot are included in the assessment, researchers run the risk of diluting the actual proliferation percentage from one categorized as highly proliferative to one that is falsely classified as low proliferating.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com