findparameter function

Parameter Calibration

Calibrate the design parameters for the Single-to-double Arm Transition Design

findparameter(p0,p1,alpha1,beta1,alpha2,beta2)

Arguments

• p0: The minimally required level for the response rate to be clinically meaningful.
• p1: The desirable target rate.
• alpha1: The type I error rate in the first stage.
• beta1: The type II error rate in the first stage.
• alpha2: The type I error rate in the second stage.
• beta2: The type II error rate in the second stage.

Returns

• n1: The number of subjects in the experimental arm in the single-arm stage.

• n2: The number of subjects in each arm in the double-arm stage.

• r1: 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.

• ess0: The expected sample size under the null hypothesis.

• ess1: The expected sample size under the alternative hypothesis.

• asn: The average sample number taken as the average of $ess0$ and $ess1$.

References

Shi H., Yin G. (2017), START: Single-to-double Arm Transition Design for Phase II Clinical Trials. Submitted.

Author(s)

Haolun Shi shl2003@connect.hku.hk,

Guosheng Yin gyin@hku.hk

Examples

findparameter(p0=0.2,p1=0.5,alpha1=0.25,beta1=0.05,alpha2=0.2,beta2=0.25)