多重假设的 p 值调整：原因、时间和方法。

IF 20.3 1区医学 Q1 RHEUMATOLOGY

Annals of the Rheumatic Diseases Pub Date : 2024-09-30 DOI:10.1136/ard-2024-225537

Stian Lydersen

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引用次数: 0

摘要

在一项研究中调查多个假设是很常见的。例如，研究人员可能想调查对多个结果变量或不同时间点的影响，比较两个以上的组别，或对亚组进行单独分析。这会增加 I 型错误的概率。有不同的多重性调整程序可用于控制 I 型错误的概率。本文将介绍一些多重性调整的方法，并提出一些建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Adjustment of p values for multiple hypotheses: why, when and how.

It is quite common to investigate multiple hypotheses in a single study. For example, a researcher may want to investigate the effect on several outcome variables or at different time points, compare more than two groups or undertake separate analyses for subgroups. This increases the probability of type I errors. Different procedures for multiplicity adjustment are available to control the probability of type I errors. In the present article, we describe some methods for multiplicity adjustment, along with recommendations.

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来源期刊

Annals of the Rheumatic Diseases 医学-风湿病学

CiteScore

35.00

自引率

9.90%

发文量

3728

审稿时长

1.4 months

期刊介绍： Annals of the Rheumatic Diseases (ARD) is an international peer-reviewed journal covering all aspects of rheumatology, which includes the full spectrum of musculoskeletal conditions, arthritic disease, and connective tissue disorders. ARD publishes basic, clinical, and translational scientific research, including the most important recommendations for the management of various conditions.