View source: R/findSingleSimonDesign.R
findSingleSimonDesign | R Documentation |
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).
findSingleSimonDesign(n1, n2, r1, r, p0, p1)
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 |
A vector containing all the inputted values and corresponding operating characteristics.
Martin Law, martin.law@mrc-bsu.cam.ac.uk
Richard Simon, Optimal two-stage designs for phase II clinical trials, Controlled Clinical Trials, Volume 10, Issue 1, 1989, Pages 1-10
findSingleSimonDesign(n1 = 15, n2 = 11, r1 = 1, r = 4, p0 = 0.1, p1 = 0.3)
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