nmaQ {NMA}

Multivariate Q-statistic and its factorization

Description

Multivariate Q-statistic and its factorized versions (within and between designs) are presented. P-values of the corresponding Q-tests are also presented.

Usage

nmaQ(x)

Arguments

x

Output object of setup

Value

Multivariate Q-statistic and its factorized ones (within and between designs) are presented.

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

• number of studies: The number of synthesized studies.

• Within designs (individual designs): Q-statistics for individual designs and their P-values.

• Q-statistics: Multivariate Q-statistics and its factorized ones (within and between designs), and their P-values.

References

Jackson, D., White, I. R., and Riley, R. D. (2012). Quantifying the impact of between-study heterogeneity in multivariate meta-analyses. Statistics in Medicine 31: 3805-3820.

Krahn, U., Binder, H., and Konig, J. (2013). A graphical tool for locating inconsistency in network meta-analysis. BMC Medical Research Methodology 13, 35.

Examples

data(heartfailure)

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

nmaQ(hf2)