Plots the leverage against the square root of the posterior mean of residual deviance of the trial-arms under the model of interest.
leverage_plot(net, drug_names, title)A scatterplot of the leverage against the square root of the posterior mean of residual deviance of the trial-arms under the model of interest. The green, yellow, and red curves correspond to the parabola
\(x^2 + y = k\) with \(k\) = 1, 2, and 3, respectively. The data points correspond to trial-arms. Data points found outside the yellow parabola are linked with a pair of numbers. The first number refers to the position of the trial in the dataset, and the second number refers to the corresponding trial-arm (see 'Arguments' and 'Value' in
data_preparation). These trial-arms contribute more than
1 to the deviance information criterion and, hence, the model's poor fit.
An object of S3 class run_metareg,
run_model, or run_ume.
See 'Value' in run_metareg, run_model, or
run_ume.
A vector of labels with the name of the interventions in
the order they appear in the argument data of
run_model.
If drug_names is not defined, the order of the
interventions as they appear in data is used, instead.
A title to indicate the model (consistency model, network meta-regression or unrelated mean effects model).
Loukia M. Spineli
leverage_plot is integrated in the ume_plot
function to create the leverage plot for the consistency model and the
unrelated mean effects model. These plots appear side-by-side in the output
of ume_plot. Dias et al. (2010) used leverage plots to
investigate the fit of the consistency and inconsistency models--the
latter through the node-splitting approach.
Dias S, Welton NJ, Caldwell DM, Ades AE. Checking consistency in mixed treatment comparison meta-analysis. Stat Med 2010;29(7-8):932--44. doi: 10.1002/sim.3767
data_preparation, run_metareg,
run_model, run_ume, ume_plot