So the new approach greatly reduces
the chances of false positives.
One common misinterpretation is that a P value of.05 implies a 95 percent probability that the effect is real (or, in other words, that
the chance of a false positive is only 5 percent).
That same story, from National Public Radio, also reported that those screened face frightfully similar risks as women do with mammograms: a 24 percent
chance of a false positive and perhaps having a needle needlessly plunged into the chest for a biopsy.
• High
chance of false positives.
Further while the sensitivity is around 84 % after 10 mammograms you have a 50 %
chance of a false positive.
Not exact matches
If you're testing a long shot, say with a 10 percent
chance of being effective, the
false positive risk for a P value
of.05 is 76 percent.
Small study size, design flaws, publication bias (failure to publish negative results or duplication
of positive results), drug - industry influence, and the play
of chance were among the problems Ioannidis found that caused
false or exaggerated claims.
NASA has allowed the team to keep another 400 candidates under wraps to give the team a
chance to follow - up on its own and minimize the number
of false positives.
After adjusting for common factors that influence breast cancer risk, Henderson and colleagues found that women whose mammograms were classified as
false -
positive who were referred for additional imaging had a 39 percent increased
chance of developing subsequent breast cancer during the 10 - year follow - up period, compared with women with a true - negative result.
Women whose mammograms were classified as
false -
positive but were referred for a breast biopsy had a 76 percent increased
chance of developing subsequent breast cancer compared with women with a true - negative result.
The 95 % significance level means that there's only a 1 in 20
chance that the stated finding (RR) does not lie within the stated confidence interval, ie the probability
of a
false positive is.05.
According to Apple, Face ID is capable
of generating far fewer
false positives than Touch ID, decreasing the
chance of an incorrect authentication from 50,000:1 to 1,000,000:1.