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A bootstrap procedure for adaptive selection of the test statistic in flexible two-stage designs.

Keiser, Meinhard and Schneider, Brit and Friede, Tim (2002) A bootstrap procedure for adaptive selection of the test statistic in flexible two-stage designs. Biometrical Journal, 44 (5). pp. 641-652. ISSN 1521-4036

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Adaptive two-stage designs allow a data-driven change of design characteristics during the ongoing trial. One of the available options is an adaptive choice of the test statistic for the second stage of the trial based on the results of the interim analysis. Since there is often only a vague knowledge of the distribution shape of the primary endpoint in the planning phase of a study, a change of the test statistic may then be considered if the data indicate that the assumptions underlying the initial choice of the test are not correct. Collings and Hamilton proposed a bootstrap method for the estimation of the power of the two-sample Wilcoxon test for shift alternatives. We use this approach for the selection of the test statistic. By means of a simulation study, we show that the gain in terms of power may be considerable when the initial assumption about the underlying distribution was wrong, whereas the loss is relatively small when in the first instance the optimal test statistic was chosen. The results also hold true for comparison with a one-stage design. Application of the method is illustrated by a clinical trial example.

Item Type: Journal Article
Journal or Publication Title: Biometrical Journal
Uncontrolled Keywords: Flexible two-stage designs • Bootstrap procedure • Power estimation • Sample size calculation
Subjects: ?? qa ??
Departments: Faculty of Science and Technology > Mathematics and Statistics
ID Code: 19276
Deposited By: ep_ss_importer
Deposited On: 19 Nov 2008 15:59
Refereed?: Yes
Published?: Published
Last Modified: 10 Apr 2018 11:27
Identification Number:

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