Supplementary material: Grouping treatments into communities. This file contains: An in-depth explanantion regarding how the treatments are grouped into communities; Full R code and an explanation of how it may be used in practice; The example data used, and R code that reproduces the figures in the main manuscript and this document, and figures showing the output of both methods, using both unweighted and weighted approaches. (DOCX 1896 kb
Network meta-analysis synthesizes direct and indirect evidence in a network of trials that compare m...
Network meta-analysis synthesizes direct and indirect evidence in a network of trials that compare m...
This is the supplemental data, figures, and tables for Joining the meta-research movement: A bibliom...
Background Meta-analysis is a useful tool for combining evidence from multiple studies to estimate ...
Example R-code for network meta-analysis. R-code that demonstrates how fold changes and their standa...
This file contains nine appendices providing further detail on the methods and results of the study....
Network meta-analysis (NMA)--a statistical technique that allows comparison of multiple treatments i...
Provides WinBUGS modelling code for models 1 and 2 as described in the main text. (DOCX 41Â kb
Rankogram. Shows the rankograms for the white and the black network of the RCT only analysis. (PDF 1...
WinBUGs code. Contains WinBUGs code and input data for the analysis. (PDF 1103 kb
Network meta-analysis has been established in recent years as a particularly useful evidence synthes...
Figure S1. Threshold selection for FS-Weight and PCA-PMI method. (A) Global network properties for n...
Network meta-analysis aims to compare multiple interventions by synthesizing studies where each stud...
- R code for GLMM analysis of simulated data in “Computational issues” section. This file provides R...
Correlation between true and estimated logFC (Simulation no. 1a). Boxplots representing the correlat...
Network meta-analysis synthesizes direct and indirect evidence in a network of trials that compare m...
Network meta-analysis synthesizes direct and indirect evidence in a network of trials that compare m...
This is the supplemental data, figures, and tables for Joining the meta-research movement: A bibliom...
Background Meta-analysis is a useful tool for combining evidence from multiple studies to estimate ...
Example R-code for network meta-analysis. R-code that demonstrates how fold changes and their standa...
This file contains nine appendices providing further detail on the methods and results of the study....
Network meta-analysis (NMA)--a statistical technique that allows comparison of multiple treatments i...
Provides WinBUGS modelling code for models 1 and 2 as described in the main text. (DOCX 41Â kb
Rankogram. Shows the rankograms for the white and the black network of the RCT only analysis. (PDF 1...
WinBUGs code. Contains WinBUGs code and input data for the analysis. (PDF 1103 kb
Network meta-analysis has been established in recent years as a particularly useful evidence synthes...
Figure S1. Threshold selection for FS-Weight and PCA-PMI method. (A) Global network properties for n...
Network meta-analysis aims to compare multiple interventions by synthesizing studies where each stud...
- R code for GLMM analysis of simulated data in “Computational issues” section. This file provides R...
Correlation between true and estimated logFC (Simulation no. 1a). Boxplots representing the correlat...
Network meta-analysis synthesizes direct and indirect evidence in a network of trials that compare m...
Network meta-analysis synthesizes direct and indirect evidence in a network of trials that compare m...
This is the supplemental data, figures, and tables for Joining the meta-research movement: A bibliom...