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统计学与方法中的常见错误。

Common errors in statistics and methods.

作者信息

Flom Peter, Harron Katie, Ballesteros Javier, Kalinda Chester, Koutoumanou Eirini, Miles Jeremy, Nevitt Sarah Jane, Rohloff Peter

机构信息

Peter Flom Consulting, New York, New York, USA

Great Ormond Street Institute of Child Health, University College London, London, UK.

出版信息

BMJ Paediatr Open. 2024 Sep 15;8(1):e002755. doi: 10.1136/bmjpo-2024-002755.

Abstract

As statistical reviewers and editors for BMJ Paediatrics Open (BMJPO), we frequently see methodological and statistical errors in articles submitted to our journal. To make a list of these common errors and propose suitable corrections, and inspired by similar efforts at other leading journals, we surveyed the statistical reviewers and editors at BMJPO to collect their 'pet peeves' and examples of best practices.(1, 2) We have divided these into seven sections: graphics; statistical significance and related issues; presentation, vocabulary, textual and tabular presentation; causality; model building, regression and choice of methods; meta-analysis; and miscellaneous. Here, we present the common errors, with brief explanations. We hope that the guidance provided here will help guide authors as they prepare their submissions to the journal, leading to higher quality and more robust research reporting.

摘要

作为《英国医学杂志·儿科开放版》(BMJPO)的统计审稿人和编辑,我们在提交至本刊的文章中经常看到方法学和统计学错误。为列出这些常见错误并提出合适的纠正方法,受其他领先期刊类似工作的启发,我们对BMJPO的统计审稿人和编辑进行了调查,以收集他们“最不能容忍的事”和最佳实践案例。(1, 2)我们将这些内容分为七个部分:图表;统计学显著性及相关问题;呈现方式、词汇、文本和表格呈现;因果关系;模型构建、回归分析和方法选择;荟萃分析;以及其他杂项。在此,我们呈现这些常见错误,并给出简要解释。我们希望这里提供的指导能帮助作者在准备向本刊投稿时有所指引,从而实现更高质量、更可靠的研究报告。

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