watercomp: Waterfall plot

In viscomp: Visualize Multi-Component Interventions in Network Meta-Analysis

Waterfall plot

Description

The function produces a waterfall plot based on the z-values from the interventions that differ by one specific component combination.

Usage

watercomp(model, sep = "+", combination = NULL, z_value = FALSE, random = TRUE)

Arguments

model	An object of class netmeta.
sep	A single character that defines the separator between interventions components.
combination	A single character that specifies the component combination of interest.
z_value	logical. If TRUE z-values are used instead of interventions effects.
random	logical. If TRUE z-values are obtained from the random-effects NMA model instead of the fixed-effect NMA model.

Details

The function based on the intervention's z-values (default choice) obtained from the network meta-analysis (NMA) model visualizes all the observed interventions that differ by one specific component combination, in order to explore if the one extra component combination from every comparison has a positive or negative impact. Bars above or below of the y = 0 line, indicates that the inclusion of the extra specific component combination has an impact on the intervention. The direction of the impact (positive or negative), depends on the outcomes’ nature (beneficial or harmful).

The combination of interest is defined from the argument combination. By default the function visualizes the interventions that differ by one component (combination = NULL). If for example combination = "A+B", the function plots the interventions that differ by "A+B".

Value

An object of class ggplot.

Note

In the case of dichotomous outcomes, the log-scale is used in axis y. Also, the function can be applied only in network meta-analysis models that contain multi-component interventions.

Examples

data(nmaMACE)
watercomp(nmaMACE)

viscomp documentation built on Jan. 16, 2023, 5:09 p.m.