Sentence examples for misclassification for the from inspiring English sources

Exact(8)

To date, no consensus has emerged on acceptable rates of misclassification for the field use of alternative VL assays.

A risk of misclassification for the GIS method remains due to imprecision in geocoding of residential addresses.

Because exposures were estimated only for home addresses, it is also possible that subject mobility was related to varying degrees of exposure misclassification for the different modeling approaches.

The use of external conversion factors may result in increased imprecision and exposure misclassification for the cohort compared with the use of internal conversion factors (National Research Council 1984).

After exposure to persistent chemicals, differences in pharmacokinetics among various people will affect the internal dose levels to some degree but not to the extent of misclassification for the purposes of epidemiologic studies.

Based on the sociodemographic characteristics of the birth certificate controls, the percentage that moved during pregnancy may have been even higher among the birth certificate controls, leading to exposure misclassification for the second set of control analyses.

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Similar(52)

The most pronounced misclassification for all the three approaches occurred along the aspect of temporal similarity, i.e., the cycle time standard deviation.

We would expect the exposure misclassification for these phthalates to be nondifferential with respect to asthma and could thus reduce our power to observe an effect for either MEP or MEHHP on asthma risk, because they had the lower ICCs.

This has the advantage that then the misclassification matrix is known thus providing the necessary prerequisite for methods to account for misclassification for example via the Matrix Method or the MC-SIMEX.

IagoDroid successfully forces misclassification for 28 of the 29 representative malware families present in the DREBIN dataset.

However, our approach to misclassification adjustment for the Montreal data may have introduced bias if misclassification was differential between surgeons and gastroenterologists.

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