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

 1 2 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.

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.

Examples

 1 2 3 4 5 6 7 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")