Sentence examples for misclassification deriving from from inspiring English sources

Exact(1)

The misclassification deriving from use of subscriber data is, however, non-differential, so that the expected direction of any bias would be toward underestimation of a true risk.

Similar(59)

The misclassification derived from this assumption will be largely determined by the extent to which ambient and microenvironmental temperatures are correlated, 16 which will most likely be affected by adaptive mechanisms such as the use of air conditioning.

We believe that a slight misclassification could have derived from the idiosyncrasy of our questionnaire pertaining to Japanese tea (green tea).

These data indicate that individuals spend more time outdoors during warm weather, increasing their exposure to outdoor air pollution and by consequence reducing exposure misclassification of exposures derived from fixed site monitoring stations.

Cases with prediction scores of <10% occurred due to the misclassification of trigger data derived from multiple simultaneous earthquakes.

Second, although there is concern about information bias, such as recall bias and reporting bias, in epidemiological studies in general, we collected patient data using the same case report form prospectively, which should overcome the misclassification and underestimation of SAEs derived from these types of bias.

A second limitation is potential misclassification, as data on polypectomy status were derived from provincial health administrative databases.

Firstly, although ascertainment of vital status may be highly accurate, the potential for misclassification for a single cause of death derived from death certificates is likely to be substantial.

We used several approaches to lessen this potential misclassification, including revising the numeric daily doses derived from dosing instructions, surveying physicians, and conducting sensitivity analyses with different assumptions for the mean duration of the standard prescription.

> Prediction results of the six classification engines are provided in Table 4. AUC and accuracy, i.e. 1-misclassification error, on the training dataset are derived from 10-fold cross-validation tests, SD is provided in parentheses.

The cut-off points are derived from ROC-curves or through another minimum misclassification criterion.

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