test.hetero.est {survcomp} | R Documentation

## Function to test the heterogeneity of set of probabilities

### Description

The function tests whether a set of p-values are heterogeneous.

### Usage

    test.hetero.est(x, x.se, na.rm = FALSE)

### Arguments

`x` | vector of estimates
`x.se` | vector of standard errors of the corresponding estimates
`na.rm` | `TRUE` if the missing values should be removed from the data, `FALSE` otherwise

### Details

The heterogeneity test is known to be very conservative. Consider a p-value < 0.1 as significant.

### Value

`Q` | Q statistic
`p.value` | p-value of the heterogeneity test

### Author(s)

Benjamin Haibe-Kains

### References

Cochrane, W. G. (1954) "The combination of estimates from different experiments", Biometrics, 10, pages 101–129.

### See Also

`combine.test`

### Examples

    set.seed(12345)
    x1 <- rnorm(100, 50, 10) + rnorm(100, 0, 2)
    m1 <- mean(x1)
    se1 <- sqrt(var(x1))
    x2 <- rnorm(100, 75, 15) + rnorm(100, 0, 5)
    m2 <- mean(x2)
    se2 <- sqrt(var(x2))

    test.hetero.est(x=c(m1, m2), x.se=c(se1, se2))

[Package survcomp version 1.38.0 Index]