combine.test: Function to combine probabilities

In survcomp: Performance Assessment and Comparison for Survival Analysis

Description

The function combines several p-value estimated from the same null hypothesis in different studies involving independent data.

Usage

combine.test(p, weight, method = c("fisher", "z.transform", "logit"),
  hetero = FALSE, na.rm = FALSE)

Arguments

p	vector of p-values
weight	vector of weights (e.g. sample size of each study)
method	fisher for the Fisher's combined probability test, z.transform for the Z-transformed test, logit for the weighted Z-method
hetero	TRUE is the heterogeneity should be taken into account, FALSE otherwise
na.rm	TRUE if the missing values should be removed from the data, FALSE otherwise

Details

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

Value

p-value

Author(s)

Benjamin Haibe-Kains

References

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.

See Also

test.hetero.test

Examples

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

#with equal weights
combine.test(p=p, method="z.transform")
#with p-values weighted by the sample size of the studies
combine.test(p=p, weight=w, method="z.transform")

Example output

Loading required package: survival
Loading required package: prodlim
[1] 0.001956598
[1] 0.004182589

survcomp documentation built on Nov. 8, 2020, 4:54 p.m.