PLoS Med. 2005 Aug;2(8):e124. Epub 2005 Aug 30. Ioannidis JP. Abstract There is increasing concern that most current published research findings 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 of true to no […]
by Julia Belluz on March 23, 201 In 2003, researchers writing in theAmerican Journal of Medicine discovered something that should change how you think about medical news. They looked at 101 studies published in top scientific journals between 1979 and 1983 that claimed a new therapy or medical technology was very promising. Only five, they found out, made it to […]
JAMA Intern Med. Published online February 09, 2015 Charles Seife, MS ABSTRACT Importance Every year, the US Food and Drug Administration (FDA) inspects several hundred clinical sites performing biomedical research on human participants and occasionally finds evidence of substantial departures from good clinical practice and research misconduct. However, the FDA has no systematic method of […]
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Posted on November 9, 2009 by Carolyn Thomas Harvard Medical School’s Dr. Marcia Angell is the author of The Truth About the Drug Companies: How They Deceive Us and What to Do About It. But more to the point, she’s also the former Editor-in-Chief at the New England Journal of Medicine, arguably one of the most respected medical journals on earth. But after reading […]
by Cole Petrochko Action Points Note that this meta-analysis of a decade’s worth ofNew England Journal of Medicine articles revealed that many common medical practices are overturned when larger, better-designed trials are performed. Be aware that the study was limited by the use of a single journal. There is also a significant risk of publication bias, […]
John P. A. Ioannidis Published: August 30, 2005 https://doi.org/10.1371/journal.pmed.0020124 Summary There is increasing concern that most current published research findings 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 of true to no relationships […]