Talk:False positive rate

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Merge

Latest comment: 7 years ago2 comments2 people in discussion

This page doesnt seem to add anything over Type I and type II errors. I don't think having a separate page for this subject is helpful Purple Post-its (talk) 14:41, 12 July 2011 (UTC)Reply

I agree with removing this page or editing it substantially. As it stands, I think the definition on this page is simply wrong, or at a minimum is super nonstandard. The numerator is not part of the numerator in this definition, so it makes no sense. HarveyMotulsky (talk) 22:52, 3 June 2017 (UTC)Reply

Aug 2012 expansion

Hello everyone, as part of my "selective inference" MSC coursework I have just finished expanding this term. Regarding the merge proposal above please see the new section "difference between type I error rate and false positive rate".

Miron.Avidan (talk) 04 Aug 2012

A different definition of false positive rate

A more obvious definition of false poaitive rate (or false discovery rate) is (in the notation used here) is TP/(TP +FP), That is the probability that a positive test is a false positive. It has been used in this sense by Colquhoun 2014 ^[1] and 2017^[2]. This article needs to be rewritten, I think.

References

^ Colquhoun, David. "An investigation of the false discovery rate and the misinterpretation of p-values". Royal Society Open Science. Retrieved 19 Nov 2014.
^ Colquhoun, David. "The Reproducibility Of Research And The Misinterpretation Of P Values". bioRxiv. Retrieved 3 June 2017.

Add topic

[1] Colquhoun, David. "An investigation of the false discovery rate and the misinterpretation of p-values". Royal Society Open Science. Retrieved 19 Nov 2014.

[2] Colquhoun, David. "The Reproducibility Of Research And The Misinterpretation Of P Values". bioRxiv. Retrieved 3 June 2017.

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