Sentence examples for most frequent discrepancy from inspiring English sources

NOS: not otherwise specified PNET: primitive neuroectodermal tumor GIST: gastrointestinal stromal tumor PEComa: malignant perivascular epithelioid cell tumor MPNST: malignant peripheral nerve sheath tumor The second most frequent discrepancy was related to the histological type (Table 4).

The most frequent discrepancy was related to the grade of the tumor: either no grading by the diagnostic pathologist while the expert attributed grade 3 (n = 33, 20%), or misinterpretation of the grading with grade 3 attributed by the diagnostic pathologist and grade 1 by the expert (n = 3, 2%).

The most frequent discrepancies identified were related to tumor grade and histological type.

Pro341Leu was the second-most frequent variant.

In summary, our modelling approach leads to richer conclusions than simple summary statistics can provide: for example, the most frequent source of discrepancies between raters appears to be due to consistent over- or under-estimation of the grade boundaries.

Lack of transfer and miscoding of information has been reported as the most frequent reasons for discrepancies in computerized medical records at a veterinary teaching hospital [ 18].

Of prescription medications, insulin frequently exhibited discrepancies (88.6%), with discrepancies of dose and missing current flags being most frequent.

26 For the occupations such that the discrepancy between the frequency of the mode and the second most frequent schooling level is less than 15 percentage points, individuals whose schooling level falls with the range defined by the two most frequent schooling levels are assumed to be matched, and years of required schooling is set equal to their actual level of education.

This causes a discrepancy between the verb counts that we came up with when determining the most frequent verbs and the count of tokens that we extracted when retrieving sentences containing verb forms.

Thus, the least common discrepancy observed- in terms of reporting no treatment need whilst having impacts were most frequent in urban areas and among children in the less poor wealth categories.

Cars were the most frequent culprits.