Erschienen in:
24.10.2020 | Brief Communication
Lies, Damn Lies, and Bad Statistics?
verfasst von:
Italo Braghetto, Manuel Figueroa
Erschienen in:
Obesity Surgery
|
Ausgabe 1/2021
Einloggen, um Zugang zu erhalten
Abstract
A wide spectrum of research such as experimental, randomized trials, cohort or epidemiological studies, technical or control case reports, systematic reviews, and meta-analyses has resulted in a huge amount of publications. These studies and publications may be subject to errors due to poor application of statistical tests, which can lead to misinformation, misinterpretation, and erroneous conclusions, sometimes even considered as lies. In this article, some ideas about this issue are discussed in order to adopt new directions in the future and thus avoid lies and bad statistics.