频数推理
荟萃分析
计算机科学
R包
网络分析
数据科学
数据挖掘
贝叶斯概率
人工智能
贝叶斯推理
医学
工程类
计算科学
电气工程
内科学
作者
Sara Balduzzi,Gerta Rücker,Adriani Nikolakopoulou,Theo Papakonstantinou,Georgia Salanti,Orestis Efthimiou,Guido Schwarzer
标识
DOI:10.18637/jss.v106.i02
摘要
Network meta-analysis compares different interventions for the same condition, by combining direct and indirect evidence derived from all eligible studies. Network metaanalysis 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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