test.hetero.test: 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.test(p, weight, na.rm = FALSE)

`p`	vector of p-values
`weight`	vector of weights (e.g. sample size of each study)
`na.rm`	`TRUE` if the missing values should be removed from the data, `FALSE` otherwise

The p-values should be one-sided and computed from the same null hypothesis.

`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.

Whitlock, M. C. (2005) "Combining probability from independent tests: the weighted Z-method is superior to Fisher's approach", J. Evol. Biol., 18, pages 1368–1373.

combine.test

p <- c(0.01, 0.13, 0.07, 0.2)
w <- c(100, 50, 200, 30)

#with equal weights
test.hetero.test(p=p)
#with p-values weighted by the sample size of the studies
test.hetero.test(p=p, weight=w)

Loading required package: survival
Loading required package: prodlim
$Q
[1] 1.243275

$p.value
[1] 0.7426449

$Q
[1] 94.16364

$p.value
[1] 2.792858e-20