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

In NMA: Network Meta-Analysis Based on Multivariate Meta-Analysis 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

Results of the local inconsistency tests for all closed loops on the network are presented.

• 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.

Higgins, J. P., Jackson, D., Barrett, J. K., Lu, G., Ades, A. E., and White, I. R. (2012). Consistency and inconsistency in network meta-analysis: concepts and models for multi-arm studies. Research Synthesis Methods 3, 98-110.

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 May 29, 2024, 2:58 a.m.