test.hetero.est {survcomp} | R Documentation |
The function tests whether a set of p-values are heterogeneous.
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 |
|
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))