transitivity: Checking transitivity

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

Checking transitivity

Description

To check transitivity on the network, summary statistics of a certain covariate among different study designs are provided. Also, a summary plot for these statistics is presented.

Usage

transitivity(x, z, gcol="blue", yrange)

Arguments

x	Output object of setup
z	Covariate name for assessing transitivity (must be involved in covariate of the output object of setup
gcol	Color of the plot
yrange	Range of y-axis of the plot

Value

Summary statistics of the covariate among different study designs and its summary plot are presented.

• coding: A table that presents the correspondence between the numerical code and treatment categories (the reference category is coded as 1).

• covariate: Covariate that specified in setup.

• summary: Summary of the covariate among different study designs. N: number of the corresponding studies, n: total sample size, wt.mean: weighted mean, min: minimum, max: maximum.

References

Cipriani, A., Furukawa, T. A., Salanti, G., et al. (2018). Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis. Lancet 391, 1357-1366.

Salanti, G. (2012). Indirect and mixed-treatment comparison, network, or multiple-treatments meta-analysis: many names, many benefits, many concerns for the next generation evidence synthesis tool. Research Synthesis Methods 3, 80-97.

Examples

data(heartfailure)

hf2 <- setup(study=study,trt=trt,d=d,n=n,z=c(SBP,DBP,pubyear),measure="OR",
ref="Placebo",data=heartfailure)

transitivity(hf2, SBP)
transitivity(hf2, DBP)
transitivity(hf2, pubyear)

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