9 found
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  1.  30
    Publication and Other Reporting Biases in Cognitive Sciences: Detection, Prevalence, and Prevention.John P. A. Ioannidis, Marcus R. Munafò, Paolo Fusar-Poli, Brian A. Nosek & Sean P. David - 2014 - Trends in Cognitive Sciences 18 (5):235-241.
  2.  1
    When Null Hypothesis Significance Testing Is Unsuitable for Research: A Reassessment.Denes Szucs & John P. A. Ioannidis - 2017 - Frontiers in Human Neuroscience 11.
  3. Informed Consent, Big Data, and the Oxymoron of Research That Is Not Research.John P. A. Ioannidis - 2013 - American Journal of Bioethics 13 (4):40 - 42.
    (2013). Informed Consent, Big Data, and the Oxymoron of Research That Is Not Research. The American Journal of Bioethics: Vol. 13, No. 4, pp. 40-42. doi: 10.1080/15265161.2013.768864.
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  4.  69
    Effectiveness of Antidepressants: An Evidence Myth Constructed From a Thousand Randomized Trials? [REVIEW]John P. A. Ioannidis - 2008 - Philosophy, Ethics, and Humanities in Medicine 3:14.
    Antidepressants, in particular newer agents, are among the most widely prescribed medications worldwide with annual sales of billions of dollars. The introduction of these agents in the market has passed through seemingly strict regulatory control. Over a thousand randomized trials have been conducted with antidepressants. Statistically significant benefits have been repeatedly demonstrated and the medical literature is flooded with several hundreds of.
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  5.  63
    Ethics and Epistemology in Big Data Research.Wendy Lipworth, Paul H. Mason, Ian Kerridge & John P. A. Ioannidis - 2017 - Journal of Bioethical Inquiry 14 (4):489-500.
    Biomedical innovation and translation are increasingly emphasizing research using “big data.” The hope is that big data methods will both speed up research and make its results more applicable to “real-world” patients and health services. While big data research has been embraced by scientists, politicians, industry, and the public, numerous ethical, organizational, and technical/methodological concerns have also been raised. With respect to technical and methodological concerns, there is a view that these will be resolved through sophisticated information technologies, predictive algorithms, (...)
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  6.  26
    Therapy and Prevention for Mental Health: What If Mental Diseases Are Mostly Not Brain Disorders?John P. A. Ioannidis - 2019 - Behavioral and Brain Sciences 42.
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  7.  33
    Interpretation of Tests of Heterogeneity and Bias in Meta‐Analysis.John P. A. Ioannidis - 2008 - Journal of Evaluation in Clinical Practice 14 (5):951-957.
  8.  13
    Why Replication has More Scientific Value Than Original Discovery.John P. A. Ioannidis - 2018 - Behavioral and Brain Sciences 41.
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  9.  13
    Translational Research May Be Most Successful When It Fails.John P. A. Ioannidis - 2015 - Hastings Center Report 45 (2):39-40.
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