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Most of the misclassification was due to cases of complicated PUD.
For specificity on the 24HR, 100% (2/2) of misclassification was due to differences in the estimate of TEE for men and women.
For sensitivity for the FFQ, in both men and women, 100% (9/9 for men and 8/8 for women) of misclassification was due to differences in the estimate of TEE.
In the remaining 12 cases, the misclassification was due to disease features currently known to be adverse prognosticators but which were not considered so at the time of the patient's presentation (e.g. specific high-risk cytogenetic abnormalities).
For specificity on the FFQ, for men, 64% (9/14) of misclassification was due to differences in the estimate of TEE, and 36% (5/14) was due to differences in the cutpoints; for women, 25% (3/12) was due to TEE, and 75% (9/12) due to the cutpoints.
For sensitivity for the 24HR, in men, 61% (17/28) of misclassification was due to differences in the estimate of TEE, and 39% (11/28) due to differences in the cutpoint; for women 76% (16/21) were misclassified due to differences in the estimate of TEE, and 24% (5/21) were misclassified due to differences in the cutpoint.
Similar(53)
Because most cases of misclassification were due to missing ethnicity information in administrative records (48.3% of misclassified cases), we also calculated sensitivity without those with missing information.
As we had no data on living status on follow-up, some misclassification was possible due to changes in living status after baseline, that is, someone who was originally living alone may have been co-habiting at the time of purchase of antidepressants.
The misclassification of these genes was due to the combined effects of including nodes with low internal correlation and information loss from hierarchical clustering.
Hence, the lower percentage of correctly classified obese women based on the measured values was due to misclassification (under-reporting) among those who were self-reported overweight rather than misclassification (over-reporting) among the obese.
The majority of error in the disturbance maps was due to misclassification of partial disturbance as unchanged forest.
More suggestions(14)
misclassification was minimal
misclassification was likely
misclassification was inevitable
misclassification was negligible
misclassification was low
misclassification was unlikely
misclassification was similar
misclassification was random
misclassification was differential
misclassification was unrelated
misclassification was small
misclassification was common
misclassification was possible
misclassification was nondifferential
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