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As example, Magno et al. [21] provide the spammer attributes to differentiate spammers and non-spammers and their experiments applying a supervised machine learning method results in high classification accuracy and low misclassification of non-spammers.
These results suggest that the question is truly associated with COPD and prevents misclassification of non-COPD subjects by spirometry.
Misclassification of non-stroke cases as stroke cases would attenuate the association between health behaviours and stroke risk.
Because we lacked information on past alcohol use, misclassification of non-drinkers may have affected our risk estimates.
The registry includes no detailed information regarding adherence, and misclassification of non-adherent patients as users is possible.
Misclassification of non-cases as cases would be expected only to attenuate observed associations between risk factors and outcome and so would not explain positive results.
We restricted our analysis to the cancers most strongly associated with HPV in order to minimize the risk of misclassification of non-HPV-cancers as HPV-related.
However, in the direct comparisons of different oral contraceptives with levonorgestrel, there was no potential bias with respect to misclassification of non-users because only oral contraceptive users were involved.
We propose a diagnostic algorithm that would avoid misclassification of non-refractory patients, prevent unwarranted immunomodulatory therapy and preclude further unnecessary and often costly testing and imaging modalities employed in the search for non-CD etiologies.
We minimised the misclassification of non-exposed patients as exposed patients by requiring exposed patients to meet the criterion of two pioglitazone prescriptions filled over a 6-month period.
We did not collect HIV status of the interviewed participants, hence a possibility of misclassification of non-TB symptoms as those of TB, with consequent unrealistically long periods of delay (several years).
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