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  1. Dec 2020
  2. pubmed.ncbi.nlm.nih.gov pubmed.ncbi.nlm.nih.gov
    Too True to be Bad: When Sets of Studies With Significant and Nonsignificant Findings Are Probably True
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    1. Grace1999 12 Dec 2020

      Lakens. D. Etz.. A. J. (2020) Too True to be Bad: When Sets of Studies With Significant and Nonsignificant Findings Are Probably True. Pubmed. Retrieved from: https://pubmed.ncbi.nlm.nih.gov/29276574/

      is:article lang:en Psychology Behaviour science Research Statistics Significant results non-significant Mixed results Mitigating publication bias
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    pubmed.ncbi.nlm.nih.gov/29276574/