calculate.contrast.deviance {bnma} | R Documentation |
Calculates deviance statistics. This function automatically called in contrast.network.run
and the deviance statistics are stored after sampling is finished.
calculate.contrast.deviance(result)
result |
Object created by |
Dbar |
Overall residual deviance |
pD |
Sum of leverage_arm (i.e. total leverage) |
DIC |
Deviance information criteria (sum of Dbar and pD) |
resdev_study |
Posterior mean of the residual deviance in each study |
devtilda_study |
Deviance at the posterior mean of the fitted values |
leverage_study |
Difference between resdev_study and devtilda_study for each trial |
A.J. Franchini, S. Dias, A.E. Ades, J.P. Jansen, N.J. Welton (2012), Accounting for correlation in network meta-analysis with multi-arm trials, Research Synthesis Methods 3(2):142-160. doi:10.1002/jrsm.1049
S. Dias, A.J. Sutton, A.E. Ades, and N.J. Welton (2013a), A Generalized Linear Modeling Framework for Pairwise and Network Meta-analysis of Randomized Controlled Trials, Medical Decision Making 33(5):607-617. doi:10.1177/0272989X12458724
network <- with(parkinsons_contrast, {
contrast.network.data(Outcomes, Treat, SE, na, V)
})
result <- contrast.network.run(network)
calculate.contrast.deviance(result)