fisherMethod {BLMA} | R Documentation

## Fisher's method for meta-analysis

### Description

Combine independent p-values using the minus log product

### Usage

    fisherMethod(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. Fisher's method uses the minus log product of the p-values as the summary statistic, which follows a chi-square distribution with 2m degrees of freedom. This chi-square distribution is used to calculate the combined p-value.

### Value

combined p-value

### Author(s)

Tin Nguyen and Sorin Draghici

### References

[1] R. A. Fisher. Statistical methods for research workers. Oliver & Boyd, Edinburgh, 1925.

### See Also

`stoufferMethod`, `addCLT`

### Examples

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

    x <- runif(10)
    fisherMethod(x)

[Package BLMA version 1.8.0 Index]