test.hetero.est: Function to test the heterogeneity of set of probabilities
In survcomp: Performance Assessment and Comparison for Survival Analysis

Description Usage Arguments Details Value Author(s) References See Also Examples

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

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

`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

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

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

Benjamin Haibe-Kains

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

combine.test

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))