lrstat (version 0.3.3)

fadjpbon: Adjusted p-Values for Bonferroni-Based Graphical Approaches

Description

Obtains the adjusted p-values for graphical approaches using weighted Bonferroni tests.

Usage

fadjpbon(p, wgtmat = NULL)

Value

A list with the following components:

• inthyp: The indicator matrix for the intersection hypotheses.

• pinter: The local p-values for the intersection hypotheses.

• padj: The adjusted p-values for the elementary hypotheses.

Arguments

p

The raw p-values for elementary hypotheses.

wgtmat

A list containing the weight matrix and the indicator matrix for intersection hypotheses. If NULL, equal weights are assigned within each intersection hypothesis.

Author

Kaifeng Lu,

References

Frank Bretz, Willi Maurer, Werner Brannath and Martin Posch. A graphical approach to sequentially rejective multiple test procedures. Statistics in Medicine. 2009; 28:586-604.

Examples

pvalues <- matrix(c(0.01,0.005,0.015,0.022, 0.02,0.015,0.010,0.023),
                  nrow=2, ncol=4, byrow=TRUE)
w <- c(0.5,0.5,0,0)
G <- matrix(c(0,0,1,0,0,0,0,1,0,1,0,0,1,0,0,0),
            nrow=4, ncol=4, byrow=TRUE)
wgtmat <- fwgtmat(w,G)
fadjpbon(pvalues, wgtmat)