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A sensitivity analysis of the 1881-1902 dataset was calculated at the 50 % false positive/false negative rate.
There is also no discussion concerning the false positive rate.
In the best case, the misidentifications of the two models would coincide, and the false positive rate would be max(0.03, 0.068) = 0.068.
Decreased false positive responses indicates improvement from baseline to retest.
The greatest concern is probably the high likely proportion of false positive results.
The variability of errors and false positive or negative responses is too small to differentiate the 5th and 95th percentiles.
Matching the cutoffs for all three events does, of course, reduce the false positive error; but the price is to increase the false negative error.
False positive rates were also published and varied significantly.
If the 28 growth restricted fetuses had been included, the false positive rate would have been even higher.
Indeed, theoretical thresholds could lead to an increase in the false positive rate.
As a measure of accuracy, we calculated the difference in the false positive rate between procedures.
Lower thresholds result in higher powers but also suffer from higher false positive rates.
Neurodevelopmental outcome was better in male fetuses with an atrium of < 12mm, probably due to the higher false positive rate.
At the same time, the strategy also reduces the number of multiple test and thus false positive results.
This potentially interferes with the detection of doublepositive target cells and leads to false positive results in the cytotoxic assay.
