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It's a categorical error based on simple-minded sentiment.
Fig. 5 Miss error rates for the three conditions of Experiment 2. Notice that the most dramatic (seven times) differences between specific and categorical error rates occur when categorical targets are rare.
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For echinocandins, categorical errors were considered "very major" when CLSI MIC indicated NS while Etest categorized the same isolate as S, and "major" when the Etest MIC indicated NS and CLSI S. A total of 638 yeast isolates were collected from 578 patients during the study period.
The 50/50 case replicates the equivalent condition of the previous experiment: Specific errors constituted 9% of errors, categorical errors 23% (t(11) = 7.5, p < 0.0001).
Only when categorical targets are four times more common than specific targets does the difference go away: Categorical errors drop to 14% compared to 17% specific errors (11) = 1.4, p < 0.18).
For assessment of categorical agreement, minor error was defined as susceptible (S) or resistant (R) by one method and intermediate (I) by the other.
Relying solely on a substance-by-substance, categorical, trial and error approach (i.e., the incremental approach) is essentially a pessimistic view about the capabilities of citizens, researchers, policymakers, and nations to understand and ultimately make homes, buildings, and communities safe and viable.
Continuous variables were summarized as the mean values (± standard errors); categorical variables were expressed as frequencies.
Continuous data are presented as mean (standard error) and categorical data as number (percentage).
Continuous variables are given as mean ± standard error, and categorical variables are presented as number (percentage).
* Continuous variables are presented as mean ± standard error, while categorical and binomial variables are presented as absolute frequency.
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CEO of Professional Science Editing for Scientists @ prosciediting.com