Description Usage Arguments Author(s) References See Also Examples

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

1 2 3 |

`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. |

L. Lusa and R. Gentleman

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

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