R: Meta-analysis of p-values

metap-package {metap} | R Documentation

## Meta-analysis of p-values

### Description

Combine p-values using a variety of methods

### Details

Package: | metap
Type: | Package
Version: | 0.7
Date: | 2016-04-05
License: | GPL-2
LazyLoad: | yes

Provides a number of ways in which significance levels may be combined in a meta-analysis. It includes a number of datasets taken from the literature. It also provdes a display and an informal graphical test due to Schweder and Spjotvol and the lowest slope line of Benjamini and Hochberg.

There is a vignette. Some further documentation and, possibly, a development version may be seen at http://www.dewey.myzen.co.uk/meta/meta.html.

### Author(s)

Michael Dewey <lists@dewey.myzen.co.uk>

### References

Becker, B J. Combining significance levels. In Cooper, H and Hedges, L V, editors A handbook of research synthesis, chapter 15, pages 215–230. Russell Sage, New York, 1994.

Benjamini, Y and Hochberg, Y. On the adaptive control of the false disovery rate in multiple testing with independent statistics. Journal of Educational and Behavioral Statistics, 25: 60–83, 2000.

Rosenthal, R. Combining the results of independent studies. Psychological Bulletin, 85:185–193, 1978.

Schweder, T and Spjotvoll, E. Plots of P–values to evaluate many tests simultaneously. Biometrika, 69:493–502, 1982.

### See Also

The issue of meta-analysis of signficance levels is not completely unconnected with the topic of adjustment for multiple comparisons as in for example `p.adjust`

[Package metap version 0.8 Index]