Some misunderstandings are more embarrassing than others, especially when revealing a lack of insight into fundamental scientific principles. This blog presents examples of statistical misunderstandings that frequently appear in medical research reports and explains what the authors have got wrong.
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Effect Measures: RR, HR, and OR
While the risk (or incidence) is an important measure from an individual and public health perspective and for planning health care resource...
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Misuse of statistical terminology is unfortunately very common in medical research reports. The misuse not only indicate methodological igno...
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The terms univariate, multivariate, univariable, and multivariable often appear in scientific medical publications. For example, Kanbaş et a...
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Medical research is primarily performed using samples of humans, laboratory animals, or cells, but the studied phenomena are rarely limited ...