中和：对双样本测试进行中性比较的开放科学倡议

IF 1.3 3区生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Biometrical Journal Pub Date : 2024-01-12 DOI:10.1002/bimj.202200237

Leyla Kodalci, Olivier Thas

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引用次数: 0

摘要

双样本问题是统计学中最早出现的问题之一：在给定两个样本的情况下，问题在于观测值是否从相同的分布中抽取。针对这个问题已经开发了许多统计检验方法，并在模拟研究中对许多检验方法进行了评估，但几乎没有任何研究试图建立一个中立的比较研究。在本文中，我们介绍了一项开放科学计划，该计划有可能实现双样本检验的中性比较。它被设计成一个开源 R 软件包、一个资源库和一个在线 R Shiny 应用程序。本文介绍了该系统的原理和设计，并说明了该系统的使用方法。

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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Neutralise: An open science initiative for neutral comparison of two-sample tests

The two-sample problem is one of the earliest problems in statistics: given two samples, the question is whether or not the observations were sampled from the same distribution. Many statistical tests have been developed for this problem, and many tests have been evaluated in simulation studies, but hardly any study has tried to set up a neutral comparison study. In this paper, we introduce an open science initiative that potentially allows for neutral comparisons of two-sample tests. It is designed as an open-source R package, a repository, and an online R Shiny app. This paper describes the principles, the design of the system and illustrates the use of the system.

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来源期刊

Biometrical Journal 生物-数学与计算生物学

CiteScore

3.20

自引率

5.90%

发文量

119

审稿时长

6-12 weeks

期刊介绍： Biometrical Journal publishes papers on statistical methods and their applications in life sciences including medicine, environmental sciences and agriculture. Methodological developments should be motivated by an interesting and relevant problem from these areas. Ideally the manuscript should include a description of the problem and a section detailing the application of the new methodology to the problem. Case studies, review articles and letters to the editors are also welcome. Papers containing only extensive mathematical theory are not suitable for publication in Biometrical Journal.