CopriEndpt.Power: Power Calculation for Two Coprimary Endpoints.

In ADCT: Adaptive Design in Clinical Trials

Description

Given the group sequential design information, returns the overall power.

Usage

CopriEndpt.Power(n, tau, mu1, mu2, rho, alpha1, alpha2, alternative)

Arguments

n	sample size for the design.
tau	information time for the interim analysis.
mu1	mean value for coprimary endpoint 1.
mu2	mean value for coprimary endpoint 2.
rho	correlation coefficient between two coprimary endpoints.
alpha1	significant level for the first stage.
alpha2	significant level for the second stage.
alternative	indicates the alternative hypothesis and must be one of "two.sided" or "two.sided".

Value

The evaluated power with attributes and computational error.

Author(s)

Yalin Zhu

References

Chang, M. (2014). Adaptive design theory and implementation using SAS and R. CRC Press.

Examples

# Example in Chang (2014) page  272
CopriEndpt.Power(n=197, tau=0.5, mu1=0.2, mu2=0.2, rho=0.5,
alpha1=0.0025, alpha2=0.024, alternative="one.sided")
 sapply(c(-0.8,-0.5,-0.2,0,0.2,0.5,0.8),CopriEndpt.Power,
n=197, tau=0.5, mu1=0.2, mu2=0.2, alpha1=0.0025, alpha2=0.024, alternative="one.sided")

Example output

[1] 0.6838472
attr(,"error")
[1] 1e-15
attr(,"msg")
[1] "Normal Completion"
[1] 0.5936979 0.6024734 0.6203122 0.6354056 0.6527405 0.6838266 0.7265147

ADCT documentation built on May 2, 2019, 9:40 a.m.