Dose.Response.Linear: Linear Contrast Test for Dose Response Study

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

Description

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

Usage

Dose.Response.Linear(alpha, beta, sigma, mui, ci, fi)

Arguments

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

References

Chow SC, Shao J, Wang H. Sample Size Calculation in Clinical Research. New York: Marcel Dekker, 2003

Examples

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

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