metacor.DSL {metacor}R Documentation

DerSimonian-Laird (DSL) meta-analytical approach with correlation coefficients as effect sizes

Description

Implements the DerSimonian-Laird (DSL) random-effect meta-analytical approach with correlation coefficients as effect sizes, as described by Schulze (2004).

Usage

metacor.DSL(r, n, labels, alpha = 0.05, plot = TRUE, xlim = c(-1, 1), transform = TRUE)

Arguments

r vector of correlations
n vector of sample sizes
labels vector of the study names
alpha alpha-level for the main test and for the confidence intervals
plot logical; should a forest plot be returned?
xlim range of the x-axis of the forest plot
transform logical; should the z-values be back-transformed to r-space?

Value

z vector of the z-values
z.var vector of the variances of each z
z.lower the lower limits of the confidence intervals for each z
z.upper the upper limits of the confidence intervals for each z
z.mean the mean effect size z
r.mean the mean effect size r, back-transformed from z-space
z.se the standard error of z.mean
z.mean.lower the lower limit of the confidence interval for z.mean
r.mean.lower the lower limit of the confidence interval for r.mean, back-transformed from z-space
z.mean.upper the upper limit of the confidence interval for z.mean
r.mean.upper the upper limit of the confidence interval for r.mean, back-transformed from z-space
p the p-value for the null hypothesis H0 -> z.mean = 0

Author(s)

Etienne Laliberte etiennelaliberte@gmail.com http://www.elaliberte.info/

References

Schulze, R. (2004) Meta-analysis: a comparison of approaches. Hogrefe & Huber, Gottingen, Germany.

See Also

metacor.OP

Examples

data(lui)
lui <- lui[order(lui$r.FDis),]
test <- metacor.DSL(lui$r.FDis, lui$n, lui$label)
test

[Package metacor version 1.0 Index]