findSingleSimonDesign {curtailment}R Documentation

Find a single Simon design

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, r, p0, p1)

Arguments

n1

Number of participants in stage 1

n2

Number of participants in stage 2

r1

Interim stopping boundary that must be exceeded to avoid no go stopping

r

Final rejection boundary that must be exceeded to reject the null hypothesis.

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, martin.law@mrc-bsu.cam.ac.uk

References

doi:10.1016/0197-2456(89)90015-9Richard 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, r = 4, p0 = 0.1, p1 = 0.3)

[Package curtailment version 0.2.6 Index]