Last data update: 2014.03.03
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R: estimating my and tau in a REM
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.
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num.studies |
The number of studies used for the meta-analysis.
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my.weights |
A matrix with one column for each experiment containing the
variances of the effects that should be combined.
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my.d |
A matrix, with one column for each experiment, containing
the effects that should be combined.
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my.vars.new |
A matrix, with one column for each experiment, containing
the variances of the effects that should be combined.
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Author(s)
L. Lusa and R. Gentleman
References
Choi et al, Combining multiple microarray studies and
modeling interstudy variation. Bioinformatics, 2003, i84-i90.
See Also
dstar ,sigmad
Examples
# please have a look at the vignette
Results
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