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• W113433736 abstract "Abstract. A recent article in this journal (Ioannidis JP (2005) Why most published research findings are false. PLoS Med 2: e124) argued that more than half of published research findings in the medical literature are false. In this commentary, we examine the structure of that argument, and show that it has three basic components: 1) An assumption that the prior probability of most hypotheses explored in medical research is below 50%. 2) Dichotomization of P- values at the 0.05 level and introduction of a “bias” factor (produced by significance-seeking), the combination of which severely weakens the evidence provided by every design. 3) Use of Bayes theorem to show that, in the face of weak evidence, hypotheses with low prior probabilities cannot have posterior probabilities over 50%. Thus, the claim is based on a priori assumptions that most tested hypotheses are likely to be false, and then the inferential model used makes it impossible for evidence from any study to overcome this handicap. We focus largely on step (2), explaining how the combination of dichotomization and “bias” dilutes experimental evidence, and showing how this dilution leads inevitably to the stated conclusion. We also demonstrate a fallacy in another important component of the argument –that papers in “hot” fields are more likely to produce false findings." @default.
• W113433736 created "2016-06-24" @default.
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• W113433736 date "2007-01-01" @default.
• W113433736 modified "2023-09-23" @default.
• W113433736 title "ASSESSING THE UNRELIABILITY OF THE MEDICAL LITERATURE: A RESPONSE TO WHY MOST PUBLISHED RESEARCH FINDINGS ARE FALSE" @default.
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