Testing secondary hypotheses following sequential clinical trials.

A Liu; M Tan; J M Boyett; X Xiong

doi:10.1111/j.0006-341x.2000.00640.x

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Testing secondary hypotheses following sequential clinical trials.

A Liu·M Tan·J M Boyett·X Xiong

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Abstract

Sequential monitoring in a clinical trial poses difficulty in hypotheses testing on secondary endpoints after the trial is terminated. The conventional likelihood-based testing procedure that ignores the sequential monitoring inflates Type I error and undermines power. In this article, we show that the power of the conventional testing procedure can be substantially improved while the Type I error is controlled. The method is illustrated with a real clinical trial.

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A Liu, M Tan, J M Boyett, X Xiong. 2000. Testing secondary hypotheses following sequential clinical trials.. https://doi.org/10.1111/j.0006-341x.2000.00640.x

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