NMA (version 2.1-1)

transitivity: 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)

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.

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

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)