tau: DerSimonian & Laird estimator for between-study variance.

In NeuroStat/NeuRRoStat: A rare collection of R functions used at the NeuroStat lab (Ghent University)

Description

Function to estimate τ^2, the DerSimonian & Laird (1986) estimator for between-study variance. Usefull to execute a random effects meta-analysis.

Usage

tau(Y, W, k)

Arguments

Y	a vector with the estimates for the study effects (e.g. standardized effect sizes Hedges' g).
W	a vector with the study specific weights. Most often the inverse of the variance of Y. See also varHedge.
k	amount of studies in the meta-analysis.

Value

an estimate for between-study variance.

References

https://www.ncbi.nlm.nih.gov/pubmed/3802833

NeuroStat/NeuRRoStat documentation built on May 15, 2019, 1:26 p.m.