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

In ph2mult: Phase II Clinical Trial Design for Multinomial Endpoints

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)

Example output

             r1 n1  r  n   EN.p0.   PET.p0.      error     power
Optimal       5 30 17 82 45.05006 0.7105757 0.04609244 0.9007424
Admissible    5 31 16 76 45.28032 0.6826597 0.04694758 0.9037415
Admissible.1  6 36 15 70 45.86191 0.7099439 0.04654875 0.9000510
Minimax       6 42 14 64 51.80052 0.5545216 0.04845876 0.9002785

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