论文标题
误导性统计和研究结果不可否认的原因：简洁的审查
Causes of Misleading Statistics and Research Results Irreproducibility: A Concise Review
论文作者
论文摘要
不良的统计数据使研究论文难以复制和误导。在大多数情况下，这种误用数值数据的原因已在几年前被专家发现和解决，并提出了适当的实用解决方案。然而，我们仍然看到现代研究中的许多统计谬误实例，毫无疑问这些实例在研究可重复性危机中起着重要作用。在本文中，我们审查了从头开始到结束研究过程的不同的不良实践。此外，我们简要提出开放科学作为一种通用方法，可以促进整个研究生命周期。
Bad statistics make research papers unreproducible and misleading. For the most part, the reasons for such misusage of numerical data have been found and addressed years ago by experts and proper practical solutions have been presented instead. Yet, we still see numerous instances of statistical fallacies in modern researches which without a doubt play a significant role in the research reproducibility crisis. In this paper, we review different bad practices that impact the research process from its beginning to its very end. Additionally, we briefly propose open science as a universal methodology that can facilitate the entire research life cycle.
