false positive error

false positive error

Type I error Statistics An error that occurs when the statistical analysis of a trial detects a difference in outcomes between a treatment group and a control group when in fact there is no difference
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1% false positive error rate confirmation cut point for both the reference drug and the biosimilar to be 71.
1% false positive error rate confirmation cut point was determined for both the reference drug and the biosimilar to be 25.
False positive error is a ratio of wrongly identified duplicates.
With 238,135 requests for latent fingerprint comparisons in 2002 alone, a false positive error rate of 2 percent implies up to 4,800 false convictions or guilty pleas made in hopes of a lighter sentence each year in the U.
In assessing the public's attitude toward risk and the consequences of error we must also be mindful of the political and media reaction to the most significant false positive error in recent history--the prewar intelligence assessments of Iraq's WMD program.
274) It should also be noted that using exposed wrongful convictions to estimate the false positive error rate of a forensic technique may risk underestimating the false positive rate because it would fail to detect false positive errors in which the falsely identified individual was in fact guilty of the crime.
96 standard deviations of the mean (that is, keep false positive errors to below 5 percent).
Detecting more true positives (the same as decreasing false negative errors and increasing sensitivity) always comes at a cost to increased false positive errors.
66) shows that the system is far more likely to produce false positive errors as opposed to false negative ones, when compared to the overall population (1.
False negative errors are more serious than false positive errors because intrusions are going undetected.
A more valid screen would result in fewer false positive errors, i.