Dose.Response.Linear {TrialSize} | R Documentation |
For a multi-arm dose response design, we use a linear contrast coefficients ci with ∑ ci = 0.
H0: L(mu)=∑ ci \times μ_i = 0
Ha: L(mu)=∑ ci \times μ_i = ε, not equal to 0
Dose.Response.Linear(alpha, beta, sigma, mui, ci, fi)
alpha |
significance level |
beta |
power = 1-beta |
sigma |
standard deviation for the population |
mui |
mui is the population mean for group i. |
ci |
a linear contrast coefficients ci with ∑ ci = 0. |
fi |
fi=ni/n is the sample size fraction for the ith group |
Chow SC, Shao J, Wang H. Sample Size Calculation in Clinical Research. New York: Marcel Dekker, 2003
mui=c(0.05,0.12,0.14,0.16); ci=c(-6,1,2,3); Example.11.1<-Dose.Response.Linear(alpha=0.05,beta=0.2,sigma=0.22,mui=mui,ci=ci,fi=1/4) Example.11.1 #178