| pairwise {NMA} | R Documentation |
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")
Arguments
x |
Output object of |
method |
Method of the estimation of pairwise meta-analysis. All possible options of |
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.
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)