| forestplot_metareg {rnmamod} | R Documentation |
Comparator-specific forest plot for network meta-regression
Description
Provides a forest plot with the posterior median and 95% credible and prediction intervals for comparisons with the selected intervention (comparator) in the network under the network meta-analysis and network meta-regression for a specified level or value of the investigated covariate, and a forest plot with the corresponding SUCRA values.
Usage
forestplot_metareg(full, reg, compar, cov_value, drug_names)
Arguments
full |
|
reg |
An object of S3 class |
compar |
A character to indicate the comparator intervention. It must
be any name found in |
cov_value |
A list of two elements in the following order: a number
for the covariate value of interest (see 'Arguments' in
|
drug_names |
A vector of labels with the name of the interventions in
the order they appear in the argument |
Details
The y-axis of the forest plot on effect sizes displays the
labels of the interventions in the network; the selected intervention that
comprises the compar argument is annotated in the plot with the
label 'Comparator intervention'.
For each comparison with the selected intervention, the 95% credible and
prediction intervals are displayed as overlapping lines. Black lines refer
to estimation under both analyses. Green and red lines refer to prediction
under network meta-analysis and network meta-regression, respectively. The
corresponding numerical results are displayed above each line:
95% credible intervals are found in parentheses, and 95% predictive
intervals are found in brackets. Odds ratios, relative risks, and ratio of
means are reported in the original scale after exponentiation of the
logarithmic scale.
The y-axis for the forest plot on SUCRA values displays the labels of the interventions in the network. The corresponding numerical results are displayed above each line. Three coloured rectangles appear in the forest plot: a red rectangle for SUCRA values up to 50%, a yellow rectangular for SUCRA values between 50% and 80%, and a green rectangle for SUCRA values over 80%. Interventions falling at the green area are considered as the highest ranked interventions, whilst interventions falling at the red area are considered as the lowest ranked interventions.
In both plots, the interventions are sorted in the descending order of their SUCRA values based on the network meta-analysis.
To obtain the posterior distribution of SUCRAs under the network meta-regression for a specified level or value of the investigated covariate, a two-step procedured is followed. First, the posterior median and standard deviation of the basic parameters and corresponding beta coefficients are considered to calculate the meadin and standard deviation of the basic parameters at the selected level or value of the investigated covariate: d + beta * cov_value. Then, these calculated values are fed into the BUGS code to get the posterior distribution of SUCRA. The progress of the simulation appears on the R console.
forestplot_metareg is integrated in metareg_plot.
forestplot_metareg can be used only for a network of interventions.
In the case of two interventions, the execution of the function will be
stopped and an error message will be printed on the R console.
Value
A panel of two forest plots: (1) a forest plot on the effect estimates and predictions of comparisons with the selected intervention in the network under the network meta-analysis and network meta-regression for a specified level or value of the investigated covariate, and (2) a forest plot on the posterior mean and 95% credible interval of SUCRA values of the interventions (Salanti et al., 2011).
Author(s)
Loukia M. Spineli
References
Salanti G, Ades AE, Ioannidis JP. Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial. J Clin Epidemiol 2011;64(2):163–71. doi:10.1016/j.jclinepi.2010.03.016
See Also
metareg_plot, run_metareg,
run_model