An Introduction to RP-Testing

Q3 Nursing

Epidemiology Biostatistics and Public Health Pub Date : 2022-07-08 DOI:10.2427/8756

L. De Capitani

引用次数: 6

Abstract

This paper reviews the concept of Reproducibility Probability and makes a brief introduction to RP-testing. The RP-based version of some common parametric tests is provided. Moreover, a particular attention is devoted to the well-known nonparametric Wilcoxon Rank-Sum test. A comparison between the properties of the RP and the p-value is made in order to evaluate the practical utility of these stability indicators. It turns out that the use of the RP to perform the tests and to interpret their results, requires more technical analysis, but it provides more interpretable direct information on the stability of the test results.

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rp测试简介

本文综述了再现性概率的概念，并对rp检验进行了简要介绍。提供了一些常见参数测试的基于rp的版本。此外，还特别关注了著名的非参数Wilcoxon秩和检验。为了评价这些稳定性指标的实际效用，对RP和p值的性质进行了比较。事实证明，使用RP来执行测试并解释其结果需要更多的技术分析，但它提供了关于测试结果稳定性的更多可解释的直接信息。

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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来源期刊

Epidemiology Biostatistics and Public Health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-

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期刊介绍： Epidemiology, Biostatistics, and Public Health (EBPH) is a multidisciplinary journal that has two broad aims: -To support the international public health community with publications on health service research, health care management, health policy, and health economics. -To strengthen the evidences on effective preventive interventions. -To advance public health methods, including biostatistics and epidemiology. EBPH welcomes submissions on all public health issues (including topics like eHealth, big data, personalized prevention, epidemiology and risk factors of chronic and infectious diseases); on basic and applied research in epidemiology; and in biostatistics methodology. Primary studies, systematic reviews, and meta-analyses are all welcome, as are research protocols for observational and experimental studies. EBPH aims to be a cross-discipline, international forum for scientific integration and evidence-based policymaking, combining the methodological aspects of epidemiology, biostatistics, and public health research with their practical applications.