transitivity {NMA}

Checking transitivity

Description

To check transitivity on the network, summary statistics of a certain covariate among different study designs are presented. 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

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)