Talk:False discovery rate

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Hope it's OK to do that. Tony Bruguier 21:50, 2 April 2006 (UTC)

Contents

[edit] Methods

Should probably include reference to at least the Bonferroni correction, Fisher's LSD (as possible exposition of the problem) and Tukey method. While these methods are not as advanced as those listed, they do form a good basis for the area. HyDeckar 14:07, 17 March 2007 (UTC)

[edit] Algorithms

This article needs sections covering the different FDR methods such as step-up, step-down control, and something about adaptive versus non-adaptive control --Zven 02:10, 21 September 2006 (UTC)

The statement “proportion of incorrectly rejected type I errors,” i.e. “proportion of incorrectly rejected false positives” does not make much sense. Should it read, perhaps, “proportion of incorrectly rejected null hypotheses in a list of rejected hypotheses”? Why not to use the definition by Benjamini and Hochberg: “expected proportion of errors among the rejected hypotheses.” Or, in other words: The expected ratio of the false positives to the number of rejected null hypotheses. Ref.: Benjamini and Hochberg (1995), J. R. Statist. Soc. B 57, pp. 289-300] [[[User:Jarda Novak|Jarda Novak]] 16:23, 1 November 2006 (UTC)]

For the purposes of clarity, something like your statement, “proportion of incorrectly rejected null hypotheses (type 1 errors) in a list of rejected hypotheses” would be an improvement --Zven 23:08, 2 November 2006 (UTC)

The variables in the table under 'classification of m hypothesis tests' seem to have been incorrectly defined. According to Benjamini & Hochberg (1995) the proportion of errors commited by falsely regecting the null is Q=V/(V+S), thus V is the number of null's falsely rejected (false positives) and V+S is the total number of nulls rejected. Therefore S is the number of false nulls rejected i.e. true negatives. However, in the table variable S has been defined as a true positive and conversely U has been defined as a true negative, when in fact it's a true positive.

I didn't want to edit the page without checking first, does anyone have any thoughts on this,have I totally lost my mind or am I right? Natashia muna 14:05, 25 October 2007 (UTC)

[edit] Copyrighted material

The pdf file pointed to by reference [1] (Benjamini and Hochberg) is copyrighted material taken from the jstor.org archive and posted contrary to jstor.org's explicitly stated policies. The pointer to the pdf file should be removed; however the citation can stay. Bill Jefferys 21:49, 22 December 2006 (UTC)

The link in question was on Yoav Benjaminis (one of the primary authors) homepage, so he is at fault for not adhearing to any copyright on jstor. This is an interesting issue as he is the person in breach of copyright. Is creating a link to his breach also in breach, or just furthur incriminating the author in question? Anyone who wants to can always use a search engine for 'Benjamini & Hochberg' anyway since is in google and others.

Hmm, interesting legal quandary here, as noted above this apparent violation of the publisher's copyright is on the homepage of its author. In most cases, actually, the manuscript belongs to the author(s) until the author(s) transfer copyright to the journal. Therefore, depending on what documents were signed by their respective authors it is entirely possible that one paper could legally be posted on the homepage of its author while another from the same journal would be in violation. We do not know what exact legalese Benjamini and Hochberg signed and therefore cannot determine whether Benjamini is violating that legalese by posting a copy of his paper on his website. In any case, I don't really see how Wikipedia is in breach of the law either way, because the protected content isn't uploaded, all the article does is point readers at Benjamini's page, which could readily be found by many other means anyway. 71.235.75.86 (talk) 00:09, 11 February 2008 (UTC)


[edit] Precision needed

I noticed in the Dependent tests part that c(m)=1 for positively correlated tests, i.e the same value as for independent tests. As an unfamiliar to the issue it seems surprising to me. Thus I think it should be explicitely written that the value of c(m) for positively correlated tests is the same as for independent tests. At the moment it looks like an error in the article. —The preceding unsigned comment was added by 129.199.1.20 (talk) 09:31, 15 February 2007 (UTC).

[edit] Title does not match content

The title of the article is "False discovery rate", which is a rate, not a statistical method. False discovery rate control is a statistical method. The content should be moved to a new article, called "False discovery rate control" or something appropriate. The current article, "False discovery rate", should be re-written about the rate of false discoveries. -Pgan002 03:51, 10 May 2007 (UTC)

False discovery rate (FDR) is an accepted name for this technique in the statistics literature. --Zvika 07:39, 30 August 2007 (UTC)