Why are two mistakes not worse than one?:a proposal for controlling the expected number of false claims

Jaki, Thomas Friedrich and Parry, Alice (2016) Why are two mistakes not worse than one?:a proposal for controlling the expected number of false claims. Pharmaceutical Statistics, 15 (4). pp. 362-367. ISSN 1539-1604

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Abstract

Multiplicity is common in clinical studies and the current standard is to use the familywise error rate to ensure that the errors are kept at a prespecified level. In this paper, we will show that, in certain situations, familywise error rate control does not account for all errors made. To counteract this problem, we propose the use of the expected number of false claims (EFC). We will show that a (weighted) Bonferroni approach can be used to control the EFC, discuss how a study that uses the EFC can be powered for co-primary, exchangeable, and hierarchical endpoints, and show how the weight for the weighted Bonferroni test can be determined in this manner.

Item Type:
Journal Article
Journal or Publication Title:
Pharmaceutical Statistics
Additional Information:
©2016 The Authors. Pharmaceutical Statistics Published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2700/2736
Subjects:
ID Code:
79136
Deposited By:
Deposited On:
20 Apr 2016 12:16
Refereed?:
Yes
Published?:
Published
Last Modified:
30 Sep 2020 01:18