On hidden factors and design‐associated errors that may lead to data misinterpretation: An example from preclinical research on the potential seasonality of neonatal seizures
Wolfgang Löscher
Abstract:Unintentional misinterpretation of research in published biomedical reports that is not based on statistical flaws is often underrecognized, despite its possible impact on science, clinical practice, and public health. Important causes of such misinterpretation of scientific data, resulting in either false positive or false negative conclusions, include design‐associated errors and hidden (or latent) variables that are not easily recognized during data analysis. Furthermore, cognitive biases, such as the incli… Show more
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