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GeneMeta (version 1.44.0)

tau2.DL: estimating my and tau in a REM

Description

tau2.DL is an estimation of tau in a random effects model (REM) using Cochran's Q statistic.

Usage

tau2.DL(Q, num.studies, my.weights)
mu.tau2(my.d, my.vars.new)
var.tau2(my.vars.new)

Arguments

Q
A vector of Cochran's Q statistics.
num.studies
The number of studies used for the meta-analysis.
my.weights
A matrix with one column for each experiment containing the variances of the effects that should be combined.
my.d
A matrix, with one column for each experiment, containing the effects that should be combined.
my.vars.new
A matrix, with one column for each experiment, containing the variances of the effects that should be combined.

Value

References

Choi et al, Combining multiple microarray studies and modeling interstudy variation. Bioinformatics, 2003, i84-i90.

See Also

dstar,sigmad

Examples

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