TWO STAGE SEQUENTIAL TESTING HOW TO
TWO STAGE SEQUENTIAL TESTING TRIAL

TWO STAGE SEQUENTIAL TESTING HOW TO

We show how to modify the boundaries of the original group sequential procedure to control the familywise error rate.

If we use the sufficient statistics instead of the CHW statistics, then we need to modify both the primary and secondary boundaries otherwise, the error rate can get inflated. We further show that the secondary boundary can be sharpened in this case by taking the unknown correlation coefficient ρ between the primary and secondary endpoints into account through the use of the confidence limit method proposed in partI of this paper. This extends their result for the single endpoint case. First, we show that if we use the Cui-Huang-Wang statistics at the second stage, then we can use the same primary and secondary boundaries as for the original procedure (without sample size re-estimation) and still control the type I familywise error rate.

N2 - In this partII of the paper on adaptive extensions of a two-stage group sequential procedure (GSP) for testing primary and secondary endpoints, we focus on the second stage sample size re-estimation based on the first stage data. T1 - Adaptive extensions of a two-stage group sequential procedure for testing primary and secondary endpoints (II)

TWO STAGE SEQUENTIAL TESTING TRIAL

We illustrate the procedures with a clinical trial example.', We provide power comparisons between competing procedures. We illustrate the procedures with a clinical trial example.Ībstract = 'In this partII of the paper on adaptive extensions of a two-stage group sequential procedure (GSP) for testing primary and secondary endpoints, we focus on the second stage sample size re-estimation based on the first stage data. In this partII of the paper on adaptive extensions of a two-stage group sequential procedure (GSP) for testing primary and secondary endpoints, we focus on the second stage sample size re-estimation based on the first stage data.

Two stage sequential testing