Sentence examples for misclassification since the from inspiring English sources

Because of the self-reported nature of exposure data, no study received a point for avoidance of bias from misclassification, since the possibility for differential misclassification remained.

In our case, this would most likely cause non-differential misclassification, since the exposure level is not known, resulting in attenuation of any true effects.

Regarding the issue of misclassification, it might be argued that there was a risk for dependent misclassification since the groups with strict moral rules (i.e. those in which religion played a major role) might systematically have underestimated risky sexual behavior due to a 'social desirability' factor.

Moreover, more research is needed before implementing the acquisition time at 2 h to avoid misclassification since the difference between the late H/M ratio at 2 h p.i. in comparison with 4 h p.i. at the patient level was not non-negligible.

A validation of BAC diagnosis was performed only in some of studies included in this pooled analysis; however, the study-specific results presented in Fig.  1 do not suggest an important role for diagnostic misclassification, since the magnitude of the excess risk did not appear to correlate with validation of pathological diagnosis.

There is a potential for misclassification, since this coding system used in this study has not been validated.

The observation is unlikely the result of misclassification since only one of the patients suffering from paralysis had a spinal injury as a result of contact with law enforcement personnel.

The limitations of this study include a potential for misclassification bias since the data is entirely based on police reports and non-fatal crashes may therefore be underreported.

▪ Another limitation is the chance of misclassification since we only have main job title and the rather unspecific diagnose-codes.

Another weakness is the possibility for misclassification since we only have main job title and the rather unspecific diagnose-codes.

Using the postcode may have introduced some misclassifications; however, since the postcode was provided by the participants, any misclassifications were minimized which was also supported by the probabilistic sensitivity analysis.