Sentence examples for categorical interpretation from inspiring English sources
The phrase "categorical interpretation" is correct and usable in written English.
It can be used in contexts where you are discussing a specific way of understanding or analyzing something in a definitive or absolute manner.
Example: "The categorical interpretation of the data suggests that there are no exceptions to the observed trends."
Alternatives: "absolute understanding" or "definitive analysis".
This was not the first time the Supreme Court has resisted a categorical interpretation of immigration law by the executive branch.
Threshold values of 5 mm, 10 mm, and 15 mm have all been used by the ATS, CDC, South African National Tuberculosis Control Programme, and WHO for categorical interpretation of the Mantoux result in various TB risk categories and TB prevalence settings, although it must be acknowledged that the actual values may have little biological meaning[18], [19], [20], [21].
In the current absence of any reliable and universally accepted quantification mechanism for RW, we have been careful to avoid categorical interpretation of our results in terms of direct linkage to any specific component such as TW.
The Surveillance Network Database – USA (TSN), an electronic database that collects MICs, MIC categorical interpretation data, and other microbiology laboratory data from 326 U.S. clinical microbiology laboratories, was used as the source of antimicrobial susceptibility test data [ 5].
We also propose that aggregating data into final league ranking tables is too prone to error and creates the illusion of absolute and categorical interpretations.
Note that we shall omit a conspicuous part of the literature on constructive and intuitionistic ZF which relates to their categorical interpretations.
Categorical interpretations were assigned according to Clinical Laboratory Standards Institute recommendations [ 11].
Aside from these, all AES categorical interpretations were in agreement with the original VITEK 2 MIC results.
In addition, the inclusion of fuzzy arguments, against which data values can be compared, greatly reduces the potential for combinatorial explosion that often occurs in expert systems that rely on categorical data interpretation, while at the same time providing a robust description of complex systems.
Categorical result interpretations are based on the Clinical Laboratory Standards Institute (http://clsi.org/) criteria adopted by the reporting facilities at the time of testing and reflect susceptibilities as reported to clinicians.
For the categorical predictors the interpretation is essentially the same, except that the HR represents the difference in the risk of mortality compared to the reference group.
