Ialongo Cristiano
Laboratory Medicine Department, "Tor Vergata" University Hospital, Rome, Italy; Department of Human Physiology and Pharmacology, University of Rome Sapienza, Rome, Italy.
Biochem Med (Zagreb). 2016;26(2):150-63. doi: 10.11613/BM.2016.015.
The evidence based medicine paradigm demands scientific reliability, but modern research seems to overlook it sometimes. The power analysis represents a way to show the meaningfulness of findings, regardless to the emphasized aspect of statistical significance. Within this statistical framework, the estimation of the effect size represents a means to show the relevance of the evidences produced through research. In this regard, this paper presents and discusses the main procedures to estimate the size of an effect with respect to the specific statistical test used for hypothesis testing. Thus, this work can be seen as an introduction and a guide for the reader interested in the use of effect size estimation for its scientific endeavour.
循证医学范式要求科学可靠性，但现代研究有时似乎忽视了这一点。功效分析是一种展示研究结果意义的方法，无论强调的是统计显著性的哪个方面。在这个统计框架内，效应量的估计是一种展示通过研究得出的证据相关性的手段。在这方面，本文介绍并讨论了针对用于假设检验的特定统计检验来估计效应大小的主要程序。因此，这项工作可被视为对有兴趣在其科学研究中使用效应量估计的读者的一份入门指南。
