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Why Most Published Research Findings Are False

  • John P. A. Ioannidis
  • Published: August 30, 2005
  • DOI: 10.1371/journal.pmed.0020124

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p values for significance must be more strict (as p=<0.005) to decrease false positives

Posted by sogino on 10 Mar 2011 at 16:12 GMT

Since we don't really know how many hypotheses are behind the scene of any paper, it has been a big mistake of scientific community to cosider p=0.05 as a gold standard. It has created so many useless false postive claims. We (and journals) must set much more stringent significance level as p=0.005 or even p=0.001. (still not to the level of GWAS). This will force researchers to design large well-powered studies. It still does not solve nonrandom bias and confounding, but at least small bad studies will disappear, which will decrease the profound degree of publication bias we are seeing today.

No competing interests declared.