Calculate single study estimates of effect size for lists of
Character string indicating Welch t-statistic (t), SAM (sam), or a z-statistic (z)
Character string indicating the name of the binary covariate
An object of class
Not implemented. Potentially additional arguments to the above methods that are implemented in other packages
This function is a wrapper that provides an estimate of effect size
for each study (element) in an
For Welch t-statistic, this function is a wrapper for mt.teststat in the multtest package.
For SAM, this function is a wrapper for the sam function in the siggenes package.
The "z" statistic is a standardized unbiased estimate of effect size (Hedges and Olkin, 1985) – implementation is in the zScores function in the R package GeneMeta.
See the complete references below.
A matrix: rows are genes and columns are studies
J.K. Choi, U. Yu, S. Kim, and O.J. Yoo (2003), Combining multiple microarray studies and modeling interstudy variation, Bioinformatics, 19(1) I84-I90.
Y. Ge, S. Dudoit & T. P. Speed (2003), Resampling-based multiple testing for microarray data hypothesis Test 12(1) : 1-44 (with discussions on 44-77).
L. Lusa R. Gentleman, and M. Ruschhaupt, GeneMeta: MetaAnalysis for High Throughput Experiments
L.V. Hedges and I. Olkin, Statistical Methods for Meta-analysis (1985), Academic Press
Tusher, Tibshirani and Chu (2001), Significance analysis of microarrays applied to the ionizing radiation response, PNAS 2001 98: 5116-5121, (Apr 24).
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