plotCovariateEffect: Plot treatment effects versus covariate values

In gemtc: Network Meta-Analysis Using Bayesian Methods

Plot treatment effects versus covariate values

Description

The plot will show the median treatment effect and the 95% credible interval on the y-axis and the covariate value on the x-axis. One plot page will be generated per pair of treatments.

Usage

plotCovariateEffect(result, t1, t2, xlim=NULL, ylim=NULL,
                    ask=dev.interactive(orNone=TRUE))

Arguments

result	Results object - created by mtc.result
t1	A list of baseline treatments to calculate treatment effects against. Will be extended to match the length of t2.
t2	A list of treatments to calculate the effects for. Will be extended to match the length of t1. If left empty and t1 is a single treatment, effects of all treatments except t1 will be calculated.
xlim	The x-axis limits.
ylim	The y-axis limits.
ask	If TRUE, a prompt will be displayed before generating the next page of a multi-page plot.

Details

Default x-axis limits will be set to three standard deviations above and below the centering value of the covariate. The y-axis limits will be set based on the minimum and maximum 95% CrI limits among the set of effects computed.

Value

None.

Author(s)

Gert van Valkenhoef

See Also

relative.effect, mtc.run

gemtc documentation built on July 9, 2023, 5:33 p.m.