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Exact(5)
Given the high proportion of on-label indications examined it seems unlikely that misclassification is of great importance.
This number represents only 0.9% of the full study population, and this misclassification is of little consequence).
The issue of exposure misclassification is of general concern in epidemiology and not an exclusive problem of the semi-individual design.
Since it is relatively easy to stage a patient with an advanced disease (large tumour involving other organs and/or metastasis corresponding to clinical stage IIIb or IV), the risk of misclassification is of minor importance in an advanced disease.
Methods 3 and 4 may be less affected by this issue, however, because the time is treated as continuous, such that the extent of misclassification is of a lesser magnitude.
Similar(55)
The effect of such random misclassification is to bias the measures of association towards the null.
Misclassification is part of a larger trend toward separating work from the stability of traditional employment.
In most situations non-differential misclassification of a binary outcome will produce bias toward the null, provided that the misclassification is independent of other errors [ 19].
A possible source of misclassification is the use of a single CA measure to classify subjects according to CA frequency.
Moreover, the risk of misclassification is increased if the time of onset of the disease varies.
Importantly, the extent of such possible misclassification is attenuated by further pieces of information available.
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