Calculate the probability of rejecting the null hypothesis at the end of the second stage in the Single-to-double Arm Transition Design
rejectprob(pe,ps,n1,n2,r1,z)The response rate of the experimental arm.
The response rate of the standard arm.
The number of subjects in the experiemntal arm in the single-arm stage.
The number of subjects in each arm in the double-arm stage.
The minimum number of responses to achieve in the single-arm stage in order for the trial to proceed into the next stage.
The threshold value for the Z test, i.e., the Z statistic should be greater than \(z\) in order to reject the null hypothesis at the end of the second stage.
The number of subjects in the experiemntal arm in the single-arm stage.
The number of subjects in each arm in the double-arm stage.
The minimum number of responses to achieve in the single-arm stage in order for the trial to proceed into the next stage.The number of responses observed at the end of single-arm stage should be greater than or equal to \(r1\) for the trial to proceed.
The expected sample size under the null hypothesis.
The expected sample size under the alternative hypothesis.
The average sample number taken as the average of \(ess0\) and \(ess1\).
Shi H., Yin G. (2017), START: Single-to-double Arm Transition Design for Phase II Clinical Trials.
# NOT RUN {
rejectprob(pe=0.2,ps=0.4,n1=20,n2=40,r1=10,z=qnorm(0.9))
# }
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