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Exact(5)

Thus, although we cannot rule out some bias due to outcome misclassification, it is unlikely to fully explain our findings.

While our measure of cartilage defects may contain some measurement error and misclassification, it is likely to be random and would dilute the effects we see, thus reducing our ability to detect significant findings.

Given the potential for nondifferential exposure misclassification, it is likely that the true relationship between diet and serum PBDE concentrations is even stronger than we have observed using 24FR.

If indeed there was misclassification, it is likely that more people in the group with coexisting schizophrenia would be miscoded, since the psychiatric illness is often the focus for the physicians.

While we cannot exclude the possibility that the lack of association may be due to misclassification, it is unlikely that there would be more misclassification in this study than in previous studies that have observed inverse associations using similar dietary assessments (Mills et al, 1991; Shibata et al, 1992; Bruemmer et al, 1996).

Similar(55)

Although this introduces a risk of misclassification, it was necessary in order to pool and analyse the data.

Although there may still have been some degree of exposure misclassification, it was most likely nondifferential, and would tend to bias our results towards the null.

(Olsson et al., 2011) There are several sources for exposure misclassification, and it is unlikely to be non-differential misclassification as suggested by the authors.

Despite our best efforts to minimize misclassification errors, it is still possible that a patient with potentially severe hypertension was not on multiple anti-hypertensive medications due to not obtaining regular medical care.

These may result in misclassification although it is unlikely this would result in differential bias.

Any estimate of gestational age is prone to misclassification, whether it is based on ultrasound or last menstrual period (LMP).

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