TwoArms.CondPower {ADCT} | R Documentation |
Given the group sequential design information, returns the conditional power.
TwoArms.CondPower(mu1, mu2, sigma1, sigma2, n1, n2, rho, tau, alpha2, alternative)
mu1 |
mean value for the first stage (endpoint 1). |
mu2 |
mean value for the second stage (endpoint 2). |
sigma1 |
standard deviation for the first stage. |
sigma2 |
standard deviation for the second stage. |
n1 |
sample size for the first stage. |
n2 |
sample size for the second stage. |
rho |
correlation coefficient between two coprimary endpoints. |
tau |
information time for the interim analysis. |
alpha2 |
significant level for the second stage. |
alternative |
indicates the alternative hypothesis and must be one of |
The evaluated power with attributes and computational error.
Yalin Zhu
Chang, M. (2014). Adaptive design theory and implementation using SAS and R. CRC Press.
# Example in Chang (2014) page 278 TwoArms.CondPower(mu1=0.28, sigma1=1.9, mu2=0.35, sigma2=2.2, n1=340, n2=340, rho=0.3, tau=0.5, alpha2=0.024, alternative = "one.sided") TwoArms.CondPower(mu1=0.28, sigma1=1.9, mu2=0.35, sigma2=2.2, n1=340, n2=482, rho=0.3, tau=0.5, alpha2=0.024, alternative = "one.sided") TwoArms.CondPower(mu1=0.32, sigma1=2, mu2=0.4, sigma2=1.8, n1=340, n2=340, rho=0.3, tau=0.5, alpha2=0.024, alternative = "one.sided")