Sentence examples for flawed classification from inspiring English sources

Study limitations included the use of convenience samples, self-reported exposure and outcome measures, flawed classification of the exposed and unexposed groups, and inadequate adjustment for potential confounding variables.

Not only are certain "racial" classifications flawed, as suggested in "Has 'Caucasian' Lost Its Meaning?" (Sunday Review, July 7); all "racial" classifications are inherently flawed, because they are based on the false idea of "race".

Rowland left the EPA in 2016 shortly after a copy of the CARC report was leaked and cited by Monsanto as evidence that the IARC classification was flawed.

W. Ralph Eubanks points out in The American Scholar (Spring 2013) that current racial classifications are flawed, as DNA testing and the influx of multiracial immigrants have undermined our traditional notions of race.

This view of classification is, however, flawed.

However, 20th century treatments of the monocotyledonous plants recognized that this classification was actually flawed and Hemerocallis was placed in a separate family, Hemerocallidaceae (Dahlgren et al. 1985).

Some classifications are conceptually flawed, using tautological indicators, while others are unsuitable for analysing trends over time or rely on a traditional concept that makes no room for upskilling outside the professional and high managerial occupations.

Moreover, a recently published review of published microarray studies that focus on cancer related outcomes showed that the most common flaw in classification studies is a biased estimation of the accuracy (present in 12 of 28 studies published in 2004 [ 23]).

Methodological advances in the last decade or so have shown that certain common methods of selecting and assessing classification and regression models are flawed.

The results of this optimised Gabor filter classification scheme are presented for 35 different flawed homogeneous textures.

This suggests that interpreting cross-sectional age effects in studies with similar populations as representing change in an individual may be unhelpful and misleading, The implication is that classification systems based on these assumptions may be flawed.