nmarank: Calculating ranking statistics of network meta-analysis

In NMA: Network Meta-Analysis Based on Multivariate Meta-Analysis and Meta-Regression Models

Calculating ranking statistics of network meta-analysis

Description

Ranking statistics of network meta-analysis such as SUCRA, MEANRANK, and probability of ranking are calculated by parametric bootstrap.

Usage

nmarank(x, B=20000, method="NH", ascending=TRUE)

Arguments

x	Output object of setup
B	Number of parametric bootstrap resampling (default: 20000)
method	Estimation and prediction method. NH: Noma-Hamura's improved REML-based methods (default). REML: The ordinary REML method. fixed: Fixed-effect model.
ascending	A logical value that specifies whether the ranking is defined by ascending or descending order.

Value

The results of the ranking statistics of network meta-analysis are provided. Also, ranking probability plots are produced.

• SUCRA: SUCRA estimates of individual treatment by parametric bootstrap.

• MEANRANK: Mean rank estimates of individual treatment by parametric bootstrap.

• Probability of ranking: Probability of ranking (best, 2nd, 3rd,..., worst) estimates of individual treatment by parametric bootstrap.

References

Chaimani, A., Higgins, J. P., Mavridis, D., Spyridonos, P., and Salanti, G. (2013). Graphical tools for network meta-analysis in STATA. PLoS One 8, e76654.

Salanti, G., Ades, A. E. and Ioannidis, J. P. (2011). Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: An overview and tutorial. Journal of Clinical Epidemiology 64, 163–171.

Examples

data(heartfailure)

hf2 <- setup(study=study,trt=trt,d=d,n=n,measure="OR",ref="Placebo",data=heartfailure)

nmarank(hf2)
nmarank(hf2, ascending=FALSE)

NMA documentation built on Nov. 5, 2025, 7:15 p.m.