Description Usage Arguments References Examples

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.

1 | ```
ReturnOCS(Results, Means, CMu, Delta, Hyp)
``` |

`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 |

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

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | ```
##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)
``` |

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