findSingleSimonDesign: Find a single Simon design

In martinlaw/SCsinglearm: Finds Stochastically Curtailed Design Realisations for Single-arm Binary Outcome Trials

Description

This function finds the operating characteristics of a single realisation of a Simon design. It returns the inputted values along with the type-I error-rate (alpha), power, expected sample size under p=p0 (EssH0) and expected sample size under p=p1 (Ess).

Usage

findSingleSimonDesign(n1, n2, r1, r2, p0, p1)

Arguments

n1	Number of participants in stage 1
n2	Number of participants in stage 2
p0	Anticipated response probability for inefficacious treatment
p1	Anticipated response probability for efficacious treatment

Value

A vector containing all the inputted values and corresponding operating characteristics.

Author(s)

Martin Law, [e-mail]

References

Richard Simon, Optimal two-stage designs for phase II clinical trials, Controlled Clinical Trials, Volume 10, Issue 1, 1989, Pages 1-10

Examples

findSingleSimonDesign(n1 = 15, n2 = 11, r1 = 1, r2 = 4, p0 = 0.1, p1 = 0.3)

martinlaw/SCsinglearm documentation built on Feb. 19, 2021, 8:05 p.m.