Department of Surgery, Hospital "Dr José J. Aguirre", Faculty of Medicine, University of Chile, Santos Dumont 999, Santiago, Chile.
Obes Surg. 2021 Jan;31(1):437-438. doi: 10.1007/s11695-020-04470-y.
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.
广泛的研究领域，如实验、随机试验、队列或流行病学研究、技术或对照病例报告、系统评价和荟萃分析，已经产生了大量的出版物。由于统计检验应用不当，这些研究和出版物可能存在误差，从而导致错误信息、误解和错误结论，有时甚至被认为是谎言。本文讨论了这个问题的一些想法，以便在未来采取新的方向，从而避免谎言和糟糕的统计数据。
