Combine p values using logit method

Description

Combine p values using logit method

Usage

logitp(p)
## S3 method for class 'logitp'
print(x, ...)

Arguments

Details

Defined as

t = - sum log(p / (1 - p)) / C

where

C = sqrt((k pi^2 (5 k + 2)) / (3(5 k + 4)))

and k is the number of studies.

The values of p should be such that 0<p<1. A warning is issued if this means that studies are omitted and an error results if as a result fewer than two studies remain.

The plot method for class ‘metap’ calls schweder on the valid p-values

Value

An object of class ‘logitp’ and ‘metap’, a list with entries

Author(s)

Michael Dewey

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.

See Also

See also schweder

Examples

data(teachexpect)
logitp(teachexpect) # t = 2.763, df = 99, p = 0.0034, from Becker
data(beckerp)
logitp(beckerp) # t = 1.62, df = 29, NS, from Becker
data(validity)
logitp(validity) # t = 9.521, df = 104, p = 3.89 * 10^{-16}

Results