stoufferMethod {BLMA} | R Documentation

## Stouffer's method for meta-analysis

### Description

Combine independent studies using the sum of p-values transformed into standard normal variables

### Usage

    stoufferMethod(x)

### Arguments

`x` | is an array of independent p-values

### Details

Considering a set of m independent significance tests, the resulted p-values are independent and uniformly distributed between 0 and 1 under the null hypothesis. Stouffer's method is similar to Fisher's method (fisherMethod), with the difference is that it uses the sum of p-values transformed into standard normal variables instead of the log product.

### Value

combined p-value

### Author(s)

Tin Nguyen and Sorin Draghici

### References

[1] S. Stouffer, E. Suchman, L. DeVinney, S. Star, and R. M. Williams. The American Soldier: Adjustment during army life, volume 1. Princeton University Press, Princeton, 1949.

### See Also

`fisherMethod`, `addCLT`

### Examples

    x <- rep(0,10)
    stoufferMethod(x)

    x <- runif(10)
    stoufferMethod(x)

[Package BLMA version 1.3.3 Index]