Dose.Response.time.to.event {TrialSize} | R Documentation |
Linear Contrast Test for Time-to-Event Endpoint in dose response study
Description
Under the exponential survival model, let lambdai be the proportion hazard rate for group i.
\sum ci = 0
.
Ho: L(\mu) = \sum ci \times \lambda_i =0
Ha: L(p) = \sum ci \times \lambda_i = \epsilon > 0
Usage
Dose.Response.time.to.event(alpha, beta, T0, T, Ti, ci, fi)
Arguments
alpha |
significance level |
beta |
power = 1-beta |
T0 |
T0 is the accrual time period |
T |
T is the total trial duration |
Ti |
|
ci |
a linear contrast coefficients ci with sum(ci)=0. |
fi |
fi=ni/n is the sample size fraction for the ith group |
References
Chow SC, Shao J, Wang H. Sample Size Calculation in Clinical Research. New York: Marcel Dekker, 2003
Examples
Ti=c(14,20,22,24);
ci=c(-6,1,2,3);
Example.11.3.1<-Dose.Response.time.to.event(alpha=0.05,beta=0.2,T0=9,T=16,Ti=Ti,ci=ci,fi=1/4)
Example.11.3.1
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fi1=c(1/9,2/9,2/9,2/9);
Example.11.3.2<-Dose.Response.time.to.event(alpha=0.05,beta=0.2,T0=9,T=16,Ti=Ti,ci=ci,fi=fi1)
Example.11.3.2
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fi2=c(1/2.919,0.711/2.919,0.634/2.919,0.574/2.919);
Example.11.3.3<-Dose.Response.time.to.event(alpha=0.05,beta=0.2,T0=9,T=16,Ti=Ti,ci=ci,fi=fi2)
Example.11.3.3
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[Package TrialSize version 1.4 Index]