# logitp: Combine p values using logit method In metap: Meta-Analysis of Significance Values

 logitp R Documentation

## Combine p values using logit method

### Description

Combine \mjseqnp values using logit method\loadmathjax

### Usage

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


### Arguments

 p \sigvec log.p \logp x An object of class ‘logitp’ ... Other arguments to be passed through

### Details

Defined as \mjdeqnt = - \frac\sum_i=1^k \log\fracp_i1 - p_iC t = - sum log(p / (1 - p)) / C where \mjdeqnC = \sqrt\frack \pi^2 (5 k + 2)3(5 k + 4)C = sqrt((k pi^2 (5 k + 2)) / (3(5 k + 4))) and \mjseqnk is the number of studies.

\ltlt

two

\plotmethod

### Value

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

 t Value of Student's \mjseqnt df Associated degrees of freedom p Associated \mjseqnp-value validp The input vector with illegal values removed

Michael Dewey

### References

\insertRef

becker94metap

See also plotp

### Examples

data(dat.metap)
teachexpect <- dat.metap$teachexpect logitp(teachexpect) # t = 2.763, df = 99, p = 0.0034, from Becker beckerp <- dat.metap$beckerp
logitp(beckerp) # t = 1.62, df = 29, NS, from Becker
validity <- dat.metap$validity$p
logitp(validity) # t = 9.521, df = 104, p = 3.89 * 10^{-16}
all.equal(exp(logitp(validity, log.p = TRUE)$p), logitp(validity)$p)


metap documentation built on March 18, 2022, 7:31 p.m.