genCorrMat: Correlation Matrix Generator

Description Usage Arguments Details Value Author(s) References Examples

View source: R/refinedBoundaries.R

Description

Generate correlation matrix between standardized sample mean test statistics for the two endpoint at different looks.

Usage

1
genCorrMat(gammaVec, type, rhoPS = 0)

Arguments

gammaVec

a vector which contains gamma_(1), ..., gamma_(K-1), gamma_(K), square root of information vector.

type

type of primary or secondary endpoint. For primary endpoint calculation, type is 1, the returned matrix is K by K. For secondary endpoint calculation, type is 2, the returned matrix is (K+1) by (K+1).

rhoPS

correlation between primary and secondary endpoints.

Details

This function generates correlation matrix between different mean statistics. For more details, refer to Tamhane et al. (2017+), section 2.

Value

correlation matrix, K by K for primary endpoint, (K+1) by (K+1) for secondary endpoint, where K is the number of interims.

Author(s)

Jiangtao Gou

Fengqing (Zoe) Zhang

References

Tamhane, A. C., Gou, J., Jennison, C., Mehta, C. R., and Curto, T. (2017+). A gatekeeping procedure to test a primary and a secondary endpoint in a group sequential design with multiple interim looks. Biometrics, to appear.

Examples

1
corrMat <- genCorrMat(gammaVec=c(sqrt(1/3),sqrt(2/3),1), type=2, rhoPS = 0.3)

gsrsb documentation built on May 29, 2017, 7:12 p.m.