ReturnOCS: Gives operating characteristics of phase 123 and conventional...

In Phase123: Simulating and Conducting Phase 123 Trials

Description

Returns the probability of selecting the optimal dose, type I error, generalized power, probability of making the best decision, average number of patients treated and average trial duration.

Usage

ReturnOCS(Results, Means, CMu, Delta, Hyp)

Arguments

Results	List containing phase 123 and conventional design results.
Means	True mean survival times for experimental agents at each dose.
CMu	Mean survival time for the control therapy.
Delta	Desired improvement in survival.
Hyp	Null=0 or alternative=1 hypthesis

References

[1] Chapple and Thall (2018). A Hybrid Phase 12/3 Clinical Trial Design Allowing Dose-Re-Optimization in Phase 3 Biometrics. Under Review.

Examples

##True Mean Control
CMu=24
##True Means Agent
Means = c(27,32,38,42,28)
##Desired improvement in mean survival
Delta=12
##Random Trial results
 Results=as.list(c(0,0))
 nSims=5
 X=matrix(rep(NA,nSims*4),nrow=nSims)
 ##DoseSelected
 X[,1]=c(2,3,4,4,3)
 X[,2]=c(0,1,1,1,1)
 X[,3]=c(270,500,500,420,400)
 X[,4]=c(70,85,88,70,88)
 Results[[1]]=X
 X[,1]=c(2,3,5,4,2)
 X[,2]=c(0,1,0,1,0)
 X[,3]=c(270,500,450,420,415)
 X[,4]=c(70,82,80,70,79)
Results[[2]]=X
Hyp=1
ReturnOCS(Results,Means,CMu,Delta,Hyp)

Phase123 documentation built on May 2, 2019, 9:56 a.m.