系统回顾中的常见统计错误:教程

Afroditi Kanellopoulou, Kerry Dwan, Rachel Richardson
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引用次数: 0

摘要

本文的目的是介绍系统综述中meta分析中最常见的统计错误;这些是令人困惑的标准偏差和标准误差,使用异质性估计器在共同效应和随机效应模型之间进行选择,多组试验处理不当,以及不必要和误解的亚组分析。我们介绍了一些有用的术语,并解释了作者可以做些什么来避免这些错误,以及同行审稿人如何发现这些错误。我们还开发了一个微型学习模块,提供实用的动手教程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Common statistical errors in systematic reviews: A tutorial

Common statistical errors in systematic reviews: A tutorial

The aim of this article is to present the most common statistical errors in meta-analyses included in systematic reviews; these are confusing standard deviation and standard error, using heterogeneity estimators for choosing between a common-effect and random-effects model, improper handling of multiarm trials, and unnecessary and misinterpreted subgroup analyses. We introduce some useful terminology and explain what authors can do to avoid these errors and how peer reviewers can spot them. We have also developed a micro-learning module to provide practical hands-on tutorial.

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