binom.power: The power function for Simon (admissible) two-stage design

In ph2mult: Phase II Clinical Trial Design for Multinomial Endpoints

Description

Calculate the type I error or power of a two-stage design

Usage

binom.power(r1,n1,r,n,p)

Arguments

r1	first stage threshold to stop the trial for futility.
n1	first stage sample size.
r	overall threshold to stop the trial for futility.
n	total sample size.
p	pre-specified response rate, p=p_0 for calculating type I error, p=p_1 for calculating power.

Value

prob	the power function: α = Pr(R ≤ r| p=p_0) or 1-β=Pr(R ≤ r| p=p_1)

References

Simon, R. (1989). Optimal two-stage designs for phase II clinical trials. Controlled clinical trials 10(1), 1-10.

See Also

binom.design

Examples

## Calculate type I error
binom.power(5, 31, 16, 76, 0.15)
binom.power(5, 31, 16, 76, 0.3)

ph2mult documentation built on May 2, 2019, 1:46 p.m.