A Confidence Interval Approach in Self-Designing Clinical Trials

  • Guido KnappEmail author
Conference paper
Part of the Contributions to Statistics book series (CONTRIB.STAT.)


In self-designing clinical trials, a special case of adaptive group sequential experiments, a confidence interval for the difference of normal means is derived, in which the results of the respective study stages are combined using the weighted inverse normal method. During the course of the self-designing trial, the sample sizes as well as the number of study stages can be simultaneously determined in a completely adaptive way. Practical rules for updating sample sizes and assigning weights to the study stages are presented. The implementation of the self-designing trial and the resulting confidence interval are demonstrated using real data.


Study Stage Equal Sample Size Adaptive Planning Adaptive Group Pivotal Statistic 
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This paper is based on some earlier joint work with Joachim Hartung.


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of StatisticsTU Dortmund UniversityDortmundGermany

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