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

被引:219
作者
Balduzzi, Sara [1 ]
Ruecker, Gerta [1 ]
Nikolakopoulou, Adriani [1 ]
Papakonstantinou, Theodoros [1 ]
Salanti, Georgia [2 ]
Efthimiou, Orestis [2 ,3 ]
Schwarzer, Guido [1 ]
机构
[1] Univ Freiburg, Inst Med Biometry & Stat, Fac Med, Med Ctr, Stefan Meier Str 26, D-79104 Freiburg, Germany
[2] Univ Bern, Inst Social & Prevent Med, Mittelstr 43, CH-3012 Bern, Switzerland
[3] Univ Oxford, Dept Psychiat, Oxford, England
基金
瑞士国家科学基金会;
关键词
network meta-analysis; R; inconsistency; component network meta-analysis; MODEL; HETEROGENEITY; CONSISTENCY;
D O I
10.18637/jss.v106.i02
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
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.
引用
收藏
页码:1 / 40
页数:40
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