Sentence examples for misclassification has been from inspiring English sources

Minimising misclassification has been shown to improve the power of a study to identify true associations [36].

Adjusting relative-risk estimates for systematic error under such circumstances (eg, exposure misclassification) has been strongly encouraged.

The potential for differential exposure misclassification has been evaluated in other studies of pesticide use by farmers.

Exposure misclassification has been described as the Achilles heel of epidemiological studies that rely on participants' self-reports[ 27].

The exclusion of these short-term jobs raises the possibility that some exposure misclassification has been introduced.

However, this type of misclassification has been found to occur in a random manner, thus, it would have likely biased the results slightly toward the null [ 25].

The use of posttest mathematical adjustments that correct for misclassification have been proposed by several investigators [17] [19], [21].

The minimum detectable receptor site concentration, relative or absolute numerical bias and imprecision which are complex and integral functions of misclassification, have been calculated from practical data and for a range of experimental conditions likely to be encountered in practice.

While the various reasons for possible misclassification have been mentioned previously, there is a risk that a substantial part of this is true misclassification and that these individuals may remain untreated and subsequently continue to suffer from the functional impairment and reduced quality of life associated with depression.

Comparisons with existing work reveal that up to 39% of the misclassifications have been corrected.

are associated with misclassification, little has been written about the joint effect of a collection of presumed predictors and the degree of misclassification.