Metrics News

  • Why Science Would Benefit From Being Self-refereed

    Mar 28, 2016
    STAT

    By:
    Ivan Oransky
    Adam Marcus
    Anyone who has ever played pickup basketball knows, allowing players to call fouls on themselves works pretty well to keep the court clean. So what about in science?
  • A review of p-values in the biomedical literature from 1990 to 2015 shows that these widely misunderstood statistics are being used increasingly, instead of better metrics of effect size or uncertainty.
  • An Unhealthy Obsession with P-values is Ruining Science

    Mar 21, 2016
    Vox Media

    By:
    Julia Belluz
    Over the past couple of years, Stanford meta-researcher John Ioannidis and several colleagues have been working on a paper that should make any nerd think twice about p-values, those tests of statistical significance that are now commonly perceived as a signal of a study's worth.
  • Are individual scientists now more productive early in their careers than 100 years ago? No, according to a large analysis of publication records released by PLOS ONE today.
  • Many Scientific “Truths” are, in Fact, False

    Mar 14, 2016
    Quartz

    By:
    Olivia Goldhill
    In 2005, John Ioannidis, a professor of medicine at Stanford University, published a paper, “Why most published research findings are false,” mathematically showing that a huge number of published papers must be incorrect.