xmeta (version 1.0-1)

galaxy: Correcting for publication bias of multivariate meta-analysis

Description

Correcting and correcting for publication bias of multivariate meta-analysis

Usage

galaxy(data, rhow, type, method, k, L, estimator, side, maxiter)

Arguments

data

dataset

rhow

within-study correlation

method

"galaxy.cl" indicating the Galaxy method for detecting and correcting for publication bias of MMA

type

either "continuous" or "binary" indicating the type of outcomes

k

integer indicating the number of outcomes

L

the coefficient for loss function

side

either "left" or "right", indicating on which side of the funnel plot the missing studies should be imputed

maxiter

maximum number of iterations

estimator

either "R0", "L0" or "Q0"

Value

• res returns the pooled effect size, covariance matrix, the estimated number of missing and the side of imputation.

Details

This function returns the pooled effect size after adjusting for publication bias of multivariate meta-analysis using the Galaxy method.

References

Chen, Y., Hong, C., Chu, H., (2015). Galaxy plot and a multivariate method for correcting publication bias in multivariate meta-analysis (in preparation).

Examples

library(mvmeta)
y = matrix(0,8,2)
S = inputcov(matrix(runif(8*2,0.1,2),8,2,dimnames=list(NULL,c("V1","V2"))),cor=c(0.5))
Psi = inputcov(1:2,cor=0.3)
mydat=mvmetaSim(y,S,Psi)
y1=mydat[,1]
y2=mydat[,2]
s1=sqrt(S[,1])
s2=sqrt(S[,3])

data=data.frame(y1, s1, y2, s2)
galaxy(data, type = "continuous", method="galaxy.cl", k=2, L=1, estimator="R0", maxiter=150)