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  1. Given the realities of bias, low statistical power, and a small number of true hypotheses, Ioannidis concludes that the majority of studies in a variety of scientific fields are likely to report results that are false.

  2. Aug 30, 2005 · Published research findings are sometimes refuted by subsequent evidence, says Ioannidis, with ensuing confusion and disappointment.

    • John P. A. Ioannidis
    • 2005
  3. Nov 30, 2020 · Ioannidis estimated that deaths in the U.S. from COVID-19 could potentially be as low as 10,000—or they could approach levels not seen since the flu pandemic of 1918. Anything was possible, he...

  4. Current Research and Scholarly Interests. My work is trying to optimize the chances of getting more reliable, trustworthy, and useful research. I have worked in the fields of evidence-based medicine, clinical investigation, clinical and molecular epidemiology, clinical research methodology, empirical research methods, statistics, and genomics.

  5. Aug 30, 2005 · It can be proven that most claimed research findings are false. As has been shown previously, the probability that a research finding is indeed true depends on the prior probability of it being true (before doing the study), the statistical power of the study, and the level of statistical significance [ 10, 11 ].

  6. John P.A. Ioannidis. Professor of Medicine/Health Research & Policy/Biomedical Data Science/Statistics, Stanford Univ. Verified email at stanford.edu - Homepage. meta-research clinical epidemiology evidence-based medicine research methods meta-analysis.

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  8. Why Most Published Research Findings Are False John P. A. Ioannidis ; when ; Summary There is increasing concern that most current published research fi ndings are false. The probability that a research claim is true may depend on study power and bias, the number of other studies on the same question, and, importantly, the ratio

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