NMA (version 1.4-2)

pairwise: Pairwise meta-analyses for all treatment pairs with direct comparisons on the network

Description

Pairwise meta-analyses for all treatment pairs with direct comparisons on the network are performed. The synthesis analyses are performed by rma and regtest in metafor package.

Usage

pairwise(x,method="REML")

Value

Results of the meta-analyses for all possible treatment pairs are presented.

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

• measure: Outcome measure.

• Summary effect measures: N (number of studies), summary estimates, 95% confidence intervals, and P-values for all possible pairs.

• Heterogeneity measures: N (number of studies), tau2 (heterogeneity variance) estimate, I2-statistic, and H2-statistic.

• Egger test: N (number of studies), P-value of the Egger test for assessing publication bias.

Arguments

x

Output object of setup

method

Method of the estimation of pairwise meta-analysis. All possible options of rma function in metafor package is available(default: REML).

References

DerSimonian, R., and Laird, N. M. (1986). Meta-analysis in clinical trials. Controlled Clinical Trials 7, 177-188.

Egger, M., Davey Smith, G., Schneider, M., and Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ 315, 629-634.

Higgins, J. P. T., and Thompson, S. G. (2002). Quantifying heterogeneity in a meta-analysis. Statistics in Medicine 21, 1539-1558.

Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software 36, Issue 3.

Examples

data(heartfailure)

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

pairwise(hf2)