meta_stouffer: Meta-analysis using Stouffer's method

In bbuchsbaum/fmrireg: R package for the anlysis of fmri data

Meta-analysis using Stouffer's method

Description

This function performs a meta-analysis on input p-values and standard errors using Stouffer's method. Stouffer's method combines z-scores by weighting them by their inverse variance.

Usage

meta_stouffer(pval, se)

Arguments

pval	A numeric vector of p-values from multiple studies or tests.
se	A numeric vector of standard errors corresponding to the p-values.

Value

A list containing the following elements:

• estimateA numeric vector of the weighted z-scores obtained using Stouffer's method.

• seA numeric vector of the combined standard errors.

• statSame as the estimate, the weighted z-scores.

• probA numeric vector of the combined p-values.

• stat_typeA character string indicating the type of statistic used, in this case "zfstat".

Examples

pval <- c(0.05, 0.01, 0.03)
se <- c(0.2, 0.15, 0.25)
result <- meta_stouffer(pval, se)
print(result)

bbuchsbaum/fmrireg documentation built on May 16, 2023, 10:56 a.m.