adj.two: Zhong's 2-/3- stage Phase II design

In tsdf: Two-/Three-Stage Designs for Phase 1&2 Clinical Trials

Description

adjust Zhong's 2-/3-stage design for over-/under-running

Usage

adj.two(n1, r1, s1, n2, alpha1, alpha2, beta, pc, pe, ...)

Arguments

n1	sample size at stage 1.
r1	inefficacy boundary at stage 1.
s1	efficacy boundary at stage 1. if no early stopping for efficacy, s1 should equal to n1.
n2	sample size at stage 2.
alpha1	left-side overall type I error.
alpha2	right-side overall type I error.
beta	type II error.
pc	a numeric vector of response rate. should be a vector with length 1 or 2.
pe	alternative hypothesis.
...	not used argument.

Details

To be added

Value

An object of class "opt.design" is a list containing:

bdry	rejection regions
error	true type 1/2 errors
n	sample size at each stage
complete	complete list of feasible designs
alpha1	input; left-side type 1 error
alpha2	input; right-side type 1 error
beta	input; type 2 error
pc	input; a vector of response rate.
pe	input; a vector of alternative response rate
sf	input; the alpha-spending function used
stage	input; two- or three- stage design is used

Author(s)

Wenchuan Guo <[e-mail]>, Jianan Hui <[e-mail]>

Examples

 n1 <- 22
 r1 <- 6
 s1 <- 22
 n2 <- 24
 pc <- 0.4
 pe <- pc + 0.15
 alpha1 <- 0.3
 alpha2 <- 0.1
 beta <- 0.2
 out <- adj.two(n1, r1, s1, n2, alpha1, alpha2, beta, pc, pe)

tsdf documentation built on July 1, 2020, 6:18 p.m.