meta2way: Two-way meta-analysis of bootstrapped effect and cost data
In henrivanwerkhoven/meta2way: Two-way Meta-Analysis for Cost-Outcome Evaluations

Description Usage Arguments Value Examples

This function allows you to perform a two-way meta-analysis of bootstrapped effect and cost data

1	meta2way(...)

`x.bt`	list of each studies x axis bootstrap values.
`y.bt`	list of each studies y axis bootstrap values.
`type`	character which type of meta-analysis to perform. Acceptes either of 'fixed', 'random' or 'both'. Defaults to 'both'.
`study.names`	character with readable names of the studies. Defaults to NULL, in which case the names of x.bt will be used (with a warning if names of y.bt are different or not available). If x.bt has no names, 'Study A','Study B', etc will be used.

meta2way returns an object of class "meta2way" which represents a two-way meta-analysis of studies, e.g. cost-effectiveness studies. The function plot can be used to plot the two dimensions of the meta-analysis, such as a cost-effectiveness plane. The function print will display the summary results of each study and the meta-analysis for the two dimentions. The function willing2pay can be used to plot a willingness to pay curve. An object of class "meta2way" is a named list containing the following components:

x

named list with values for x-variable:

bt: copy of x.bt; if study.names was provided, these will be used as names of bt
meta.fixed: fixed effects meta analysis result for x
meta.random: random effects meta-analysis result for x
Q: value of Q for x
tau2: value of tau2 for x
I2: value of I2 for x

y

named list with values for y-variable, same as x

study.names

character vector of study names

do.fixed

logical whether or not fixed effects meta-analysis is performed

do.random

logical whether or not random effects meta-analysis is performed

n.studies

integer length 1 containing number of studies

n.bt

integer length 1 containing number of bootstrap samples per study

# perform meta-analysis using list of x-values and list of y-values
m <- meta2way(list(Abrahams=treatments$Abrahams2018.x, Baruch=treatments$Baruch2018.x),
              list(Abrahams=treatments$Abrahams2018.y, Baruch=treatments$Baruch2018.y))
m
# this is a trick to do meta-analysis of the inverse comparison
m <- meta2way(list(Abrahams=-treatments$Abrahams2018.x, Baruch=-treatments$Baruch2018.x),
              list(Abrahams=-treatments$Abrahams2018.y, Baruch=-treatments$Baruch2018.y))
m

# meta-analysis can also be performed using study2way objects
s1 <- study2way(treatments$Abrahams2018.x, treatments$Abrahams2018.y, 'Abrahams 2018')
s2 <- study2way(treatments$Baruch2018.x, treatments$Baruch2018.y, 'Baruch 2018')
m <- meta2way(s1, s2)
m