Combine \(p\)-values using a variety of methods
| 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.
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.
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