binom.design {ph2mult}

The design function for Simon (admissible) two-stage design

Description

Search criterion to find the Optimal, Minimax, Admissible and Maximized power design stopping boundary and corresponding sample size

Usage

binom.design(type = c("minimax","optimal","maxpower","admissible"), p0, p1,
signif.level=0.05, power.level=0.85, nmax=100, plot.out = FALSE)

Arguments

type

the output types of design, choose from "minimax","optimal","admissible" and "maxpower"

p0

undesirable response rate.

p1

desirable response rate for treatment efficacy.

signif.level

threshold for the probability of declaring drug desirable under p0.

power.level

threshold for the probability of declaring drug desirable under p1.

nmax

maximum total sample size

plot.out

logical; if FALSE (default), do not output plot, otherwise, output a plot for design selection.

Value

boundset

the boundaries set: r_1 and n_1 for first stage r and n for second stage

References

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

Jung, S. H., Lee, T., Kim, K., & George, S. L. (2004). Admissible two-stage designs for phase II cancer clinical trials. Statistics in medicine 23(4), 561-569.

Examples

binom.design(type = "admissible", p0 = 0.15, p1 = 0.3, signif.level = 0.05, power.level = 0.9,
plot.out = TRUE)