Network Meta-analysis

By Ian R. White. 2015

436 citations recorded by the source corpus.

Network meta-analysis is a popular way to combine results from several studies (usually randomized trials) comparing several treatments or interventions. It has usually been performed in a Bayesian setting, but recently it has become possible in a frequentist setting using multivariate meta-analysis and meta-regression, implemented in Stata with mvmeta. I describe a suite of Stata programs for network meta-analysis that perform the necessary data manipulation, fit consistency and inconsistency models using mvmeta, and produce various graphics.

Subfields: Experimental and Cognitive Psychology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/b057ed7e485e2a74cddcac883893b63b2cbf701c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Experimental and Cognitive Psychology

1. A. Chaimani
2. A. Sutton
3. R. Owen
4. N. Cooper
5. Naomi V. Bradbury
6. Georgia Salanti
7. Y. Xin
8. Ian R. White

In Statistics and Probability

1. A. Chaimani
2. Georgia Salanti
3. A. Sutton
4. N. Cooper
5. R. Owen
6. Naomi V. Bradbury
7. Y. Xin
8. Ian R. White

Citations in the corpus

• Visualizing Assumptions and Results in Network Meta-analysis: The Network Graphs Package (2015, methodology): “Using the network setup command (White 2015), we prepared the data in a format suitable to run network meta-analysis in Stata.”
• MetaInsight: An interactive web‐based tool for analyzing, interrogating, and visualizing network meta‐analyses using R‐shiny and netmeta (2019, methodology): “Technical users may wish to make use of the full flexibility, modeling options, and output offered in the netmeta package 10 as well as other packages such as metafor 15 in R, network 16 and network_graphs 17 in Stata, SAS, JAGS, WinBUGS, OpenBUGS, and Stan.”