pairwise function

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

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

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.

pairwise(x,method="REML")

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).

Returns

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)
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