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John P. A. Ioannidis (born 1965 in New York City) is a professor and chairman at the Department of Hygiene and Epidemiology, University of Ioannina School of Medicine as well as adjunct professor at Tufts University School of Medicine and Professor of Medicine and Director of the Stanford Prevention Research Center at Stanford University School of Medicine.[1][2]

Contents

Biography [edit]

He was born in 1965 and raised in Athens, Greece. He was Valedictorian of his class at Athens College, graduating in 1984. He graduated first in his class at the University of Athens Medical School, then attended Harvard University for his medical residency in internal medicine. He then did a fellowship at Tufts University for infectious disease.[3]

Ioannidis's 2005 paper "Why Most Published Research Findings Are False"[4] has been the most downloaded technical paper from the journal PLoS Medicine.[5] Goodman and Greenland support many of Ioannidis's findings, but noted that Ioannidis did not collaborate with any statisticians on the article and appeared to have confused alpha level with p value.[6][7] Ioannidis has responded to this critique.[8] A profile of his work in this area appears in the November 2010 issue of The Atlantic.[9] The Atlantic article notes Ioannidis analyzed "49 of the most highly regarded research findings in medicine over the previous 13 years". And "Of the 49 articles, 45 claimed to have uncovered effective interventions. Thirty-four of these claims had been retested, and 14 of these, or 41 percent, had been convincingly shown to be wrong or significantly exaggerated."[10]

See also [edit]

References [edit]

  1. ^ "John P. A. Ioannidis". Department of Hygiene and Epidemiology, University of Ioannina School of Medicine. Retrieved 2008-12-31. 
  2. ^ Ioannidis, John P.A. "Curriculum Vitae". Retrieved 4 November 2010. 
  3. ^ David H. Freedman (2010). Wrong: Why Experts Keep Failing Us. Little, Brown and Company. ISBN 0-316-02378-7. "Born in 1965 in the United States to parents who were both physicians, he was raised in Athens, where he showed unusual aptitude in mathematics and snagged Greece's top student math prize. ..." 
  4. ^ Ioannidis, J. P. A. (2005). "Why Most Published Research Findings Are False". PLoS Medicine 2 (8): e124. doi:10.1371/journal.pmed.0020124. PMC 1182327. PMID 16060722.  edit
  5. ^ Robert Lee Hotz (2007-09-14). "Most Science Studies Appear to Be Tainted By Sloppy Analysis". Science Journal WSJ.com (Dow Jones & Company). 
  6. ^ Steven Goodman and Sander Greenland (2007). "Assessing the unreliability of the medical literature: A response to "Why most published research findings are false"". Johns Hopkins University, Department of Biostatistics. 
  7. ^ Goodman, S.; Greenland, S. (2007). "Why Most Published Research Findings Are False: Problems in the Analysis". PLoS Medicine 4 (4): e168. doi:10.1371/journal.pmed.0040168. PMC 1855693. PMID 17456002.  edit
  8. ^ Ioannidis, J. P. A. (2007). "Why Most Published Research Findings Are False: Author's Reply to Goodman and Greenland". PLoS Medicine 4 (6): e215. doi:10.1371/journal.pmed.0040215. PMC 1896210. PMID 17593900.  edit
  9. ^ David H. Freedman (November 2010) Lies, Damned Lies, and Medical Science, The Atlantic
  10. ^ Ioannidis, J. P. A. (2005). "Contradicted and Initially Stronger Effects in Highly Cited Clinical Research". JAMA: the Journal of the American Medical Association 294 (2): 218–228. doi:10.1001/jama.294.2.218. PMID 16014596.  edit

External links [edit]

  • John P. A. Ioannidis, MD, PhD, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center
  • Ioannidis John P. A., Department of Hygiene and Epidemiology, University of Ioannina School of Medicine
  • Szgene.org, meta-analytic database of schizophrenia gene studies of which Dr. Ioannidis helped create.

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Given their unquestionable importance, we contend that health system processes should be routinely evaluated with randomized controlled trials (Drs. John P. A. Ioannidis and Vinay Prasad, 5/20). The Medicare NewsGroup: Does Medicare Overpay Private ...
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