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实验生物学中展示数据和报告数据分析及统计方法的新作者指南。

New Author Guidelines for Displaying Data and Reporting Data Analysis and Statistical Methods in Experimental Biology.

机构信息

Department of Pharmacology, Johannes Gutenberg University, Mainz, Germany (M.C.M.); Partnership for the Assessment and Accreditation of Scientific Practice, Heidelberg, Germany (M.C.M.); Department of Pharmacology and Chemical Biology, Emory University, Atlanta, Georgia (T.J.M.); and GraphPad Software, Los Angeles, California (H.J.M.).

Department of Pharmacology, Johannes Gutenberg University, Mainz, Germany (M.C.M.); Partnership for the Assessment and Accreditation of Scientific Practice, Heidelberg, Germany (M.C.M.); Department of Pharmacology and Chemical Biology, Emory University, Atlanta, Georgia (T.J.M.); and GraphPad Software, Los Angeles, California (H.J.M.)

出版信息

Mol Pharmacol. 2020 Jan;97(1):49-60. doi: 10.1124/mol.119.118927.

Abstract

The American Society for Pharmacology and Experimental Therapeutics has revised the Instructions to Authors for , , and These revisions relate to data analysis (including statistical analysis) and reporting but do not tell investigators how to design and perform their experiments. Their overall focus is on greater granularity in the description of what has been done and found. Key recommendations include the need to differentiate between preplanned, hypothesis-testing, and exploratory experiments or studies; explanations of whether key elements of study design, such as sample size and choice of specific statistical tests, had been specified before any data were obtained or adapted thereafter; and explanations of whether any outliers (data points or entire experiments) were eliminated and when the rules for doing so had been defined. Variability should be described by S.D. or interquartile range, and precision should be described by confidence intervals; S.E. should not be used. values should be used sparingly; in most cases, reporting differences or ratios (effect sizes) with their confidence intervals will be preferred. Depiction of data in figures should provide as much granularity as possible, e.g., by replacing bar graphs with scatter plots wherever feasible and violin or box-and-whisker plots when not. This editorial explains the revisions and the underlying scientific rationale. We believe that these revised guidelines will lead to a less biased and more transparent reporting of research findings.

摘要

美国药理学与实验治疗学会修订了《 》《 》和《 》的作者须知。这些修订涉及数据分析(包括统计分析)和报告,但并未告诉研究人员如何设计和进行实验。它们的总体重点是更详细地描述已完成和发现的内容。主要建议包括需要区分预先计划的、假设检验的和探索性的实验或研究;解释研究设计的关键要素(例如样本量和特定统计检验的选择)是否在获得任何数据之前或之后进行了指定;以及解释是否已排除任何离群值(数据点或整个实验),以及何时定义了这样做的规则。应使用 S.D. 或四分位距来描述变异性,使用置信区间来描述精度;不应使用 S.E.。 值应谨慎使用;在大多数情况下,报告差异或比率(效应大小)及其置信区间将更受欢迎。图中数据的表示应尽可能提供更多的粒度,例如,在可行的情况下用散点图代替条形图,在不可行的情况下用小提琴图或箱线图。本社论解释了这些修订以及背后的科学原理。我们相信,这些修订后的指南将导致研究结果的报告更加公正和透明。

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