local.ict: Local inconsistency tests for all closed loops on the network

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

Local inconsistency tests for all closed loops on the network

Description

Local inconsistency tests for all closed loops on the network are performed. Higgins' inconsistency test (Generalized Bucher's test) that assesses the design-by-treatment interactions on the triangle loops are performed and their results are presented.

Usage

local.ict(x)

Arguments

x	Output object of setup

Value

The results of the local inconsistency tests for all closed loops on the network are provided.

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

• reference: Reference treatment category.

• N: Number of studies.

• tau: Between-studies SD estimate.

• X2-statistic: Chi-squared statistics of the generalized Bucher's test.

• df: Degree of freedom.

• P-value: P-value of the generalized Bucher's test.

References

Bucher, H. C., Guyatt, G. H., Griffith, L. E., and Walter, S. D. (1997). The results of direct and indirect treatment comparisons in meta-analysis of randomized controlled trials. Journal of Clinical Epidemiology 50, 683-691.

Veroniki, A. A., Vasiliadis, H. S., Higgins, J. P., and Salanti, G. (2013). Evaluation of inconsistency in networks of interventions. International Journal of Epidemiology 42, 332-345.

Examples

data(heartfailure)

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

local.ict(hf2)

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