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Three-stage designs for monitoring clinical trials
Authors:L Douglas Case  Timothy M Morgan  CE Davis
Institution:1. Department of Public Health Sciences , The Comprehensive Cancer Center of Wake Forest University, Bowman Gray School of Medicine, Medical Center Boulevard , Winston-Salem, NC, 27157;2. Department of Biostatistics , University of North Carolina, School of Public Health , Chapel Hill, NC, 27514
Abstract:Optimal three-stage designs with equal sample sizes at each stage are presented and compared to fixed sample designs, fully sequential designs, designs restricted to use the fixed sample critical value at the final stage, and to modifications of other group sequential designs previously proposed in the literature. Typically, the greatest savings realized with interim analyses are obtained by the first interim look. More than 50% of the savings possible with a fully sequential design can be realized with a simple two-stage design. Three-stage designs can realize as much as 75% of the possible savings. Without much loss in efficiency, the designs can be modified so that the critical value at the final stage equals the usual fixed sample value while maintaining the overall level of significance, alleviating some potential confusion should a final stage be necessary. Some common group sequential designs, modified to allow early acceptance of the null hypothesis, are shown to be nearly optimal in some settings while performing poorly in others. An example is given to illustrate the use of several three-stage plans in the design of clinical trials.
Keywords:clinical trials  sample size  power  three-stage designs  group sequential designs
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