netmeta:一个使用频率方法进行网络元分析的R包

IF 5.4 2区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Statistical Software Pub Date : 2023-01-01 DOI:10.18637/jss.v106.i02

S. Balduzzi, G. Rücker, A. Nikolakopoulou, T. Papakonstantinou, G. Salanti, O. Efthimiou, G. Schwarzer

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引用次数: 23

摘要

网络荟萃分析通过结合来自所有符合条件的研究的直接和间接证据，对相同条件下的不同干预措施进行比较。网络元分析已被越来越多的应用科学家所使用，也是方法学家的一个重要研究课题。本文介绍了R软件包netmeta，该软件包采用频域方法拟合网络元分析模型。我们提供了执行网络元分析的路线图，以及软件包主要功能的概述。我们提出了三个考虑不同类型结果和不同数据格式的工作示例，以方便研究人员使用netmeta进行网络元分析

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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netmeta: An R Package for Network Meta-Analysis Using Frequentist Methods

Network meta-analysis compares different interventions for the same condition, by combining direct and indirect evidence derived from all eligible studies. Network meta-analysis has been increasingly used by applied scientists and it is a major research topic for methodologists. This article describes the R package netmeta , which adopts frequentist methods to fit network meta-analysis models. We provide a roadmap to perform network meta-analysis, along with an overview of the main functions of the package. We present three worked examples considering different types of outcomes and different data formats to facilitate researchers aiming to conduct network meta-analysis with netmeta

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来源期刊

Journal of Statistical Software 工程技术-计算机：跨学科应用

CiteScore

10.70

自引率

1.70%

发文量

审稿时长

6-12 weeks

期刊介绍： The Journal of Statistical Software (JSS) publishes open-source software and corresponding reproducible articles discussing all aspects of the design, implementation, documentation, application, evaluation, comparison, maintainance and distribution of software dedicated to improvement of state-of-the-art in statistical computing in all areas of empirical research. Open-source code and articles are jointly reviewed and published in this journal and should be accessible to a broad community of practitioners, teachers, and researchers in the field of statistics.