Dose.Response.time.to.event: Linear Contrast Test for Time-to-Event Endpoint in dose...

In TrialSize: R Functions for Chapter 3,4,6,7,9,10,11,12,14,15 of Sample Size Calculation in Clinical Research

Description

Under the exponential survival model, let lambdai be the proportion hazard rate for group i.

∑ ci = 0.

Ho: L(μ) = ∑ ci \times λ_i =0

Ha: L(p) = ∑ ci \times λ_i = ε > 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	λ_i=log(2)/Ti, Ti is the estimated median time for each group.
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
#412

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
#814

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
#349

TrialSize documentation built on July 8, 2020, 7:19 p.m.