Comment: On the Potential for Misuse of Outcome-Wide Study Designs, and Ways to Prevent It

IF 3.9 1区 数学 Q1 STATISTICS & PROBABILITY Statistical Science Pub Date : 2020-08-01 DOI:10.1214/20-sts769
S. Vansteelandt, O. Dukes
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引用次数: 2

Abstract

We congratulate the authors, VanderWeele, T.J., Mathur, M.B. and Chen, Y. (2020) (hereafter referred to as VMC), for making an interesting and important proposal, and thank the Editor for the opportunity to comment on it. We agree with VMC that outcome-wide epidemiology has the potential to overcome many of the weaknesses of the traditional epidemiological approach. Scientific reports that express the effects of exposure on a variety of different outcomes provide a more complete view on the exposure impact, while lessening the risk of selective analysis and reporting. We see much value in it, though caution is warranted. In this commentary, we highlight a number of key limitations, which will in turn suggest preferred analysis strategies that we find important to consider in addition to (or instead of) those described by VMC.
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评论:关于滥用结果范围研究设计的可能性以及预防方法
我们祝贺作者VanderWeele,T.J.、Mathur,M.B.和Chen,Y.(2020)(以下简称VMC)提出了一个有趣而重要的建议,并感谢编辑有机会对此发表评论。我们同意VMC的观点,即全结果流行病学有可能克服传统流行病学方法的许多弱点。科学报告表达了暴露对各种不同结果的影响,提供了对暴露影响的更完整的看法,同时降低了选择性分析和报告的风险。我们看到它有很大的价值,尽管需要谨慎。在这篇评论中,我们强调了一些关键的局限性,这些局限性反过来又提出了我们认为除了VMC描述的分析策略之外(或代替VMC描述)还需要考虑的首选分析策略。
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来源期刊
Statistical Science
Statistical Science 数学-统计学与概率论
CiteScore
6.50
自引率
1.80%
发文量
40
审稿时长
>12 weeks
期刊介绍: The central purpose of Statistical Science is to convey the richness, breadth and unity of the field by presenting the full range of contemporary statistical thought at a moderate technical level, accessible to the wide community of practitioners, researchers and students of statistics and probability.
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