You can't trust medical studies -- or at least the statistics, said a panel at the American Association for the Advancement of Science according to Ars Technica. A major issue is the sheer number of data points and the number of tests that researchers are performing. "Even given a low tolerance for error, the sheer number of tests performed ensures that some of them will produce erroneous results at random," the post says. In addition, models can account for the same factor through different mathematical approaches and then spit out completely different results. Members of the panel said that funding agencies and journal editors should lobby for the use of new statistical methods and hold studies to "minimal standard of biological plausibility."
Significant, But Not Plausible
Mar 04, 2010