How to Report Statistics in Medicine: Annotated Guidelines for Authors, Editors, and ReviewersStatistics are supposed to make something easier to understand but when used in a misleading fashion can trick the casual observer into believing something other than what the data shows. That is, a misuse of statistics occurs when a statistical argument asserts a falsehood. In some cases, the misuse may be accidental. In others, it is purposeful and for the gain of the perpetrator. When the statistical reason involved is false or misapplied, this constitutes a statistical fallacy.
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Colleague's E-mail is Invalid. Your message has been successfully sent to your colleague. Save my selection. Thomas A. American College of Physicians, Philadelphia, Scope: This is a well-written second edition of a statistics textbook that is appropriate for students and physicians using statistics in preparing manuscripts for publication. It can serve as a quick reference with its highly annotated index and guide at the end for statistical terms and tests.
European Journal of Epidemiology. Misinterpretation and abuse of statistical tests, confidence intervals, and statistical power have been decried for decades, yet remain rampant. A key problem is that there are no interpretations of these concepts that are at once simple, intuitive, correct, and foolproof. Instead, correct use and interpretation of these statistics requires an attention to detail which seems to tax the patience of working scientists. This high cognitive demand has led to an epidemic of shortcut definitions and interpretations that are simply wrong, sometimes disastrously so—and yet these misinterpretations dominate much of the scientific literature.
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