An improved closed procedure for testing multiple hypotheses
© 2020 John Wiley & Sons, Ltd..
Clinical trials routinely involve multiple hypothesis testing. The closed testing procedure (CTP) is a fundamental principle in testing multiple hypotheses. This article presents an improved CTP in which intersection hypotheses can be tested at a level greater than α such that the control of the familywise error rate at level α remains. Consequently, our method uniformly improves the power of discovering false hypotheses over the original CTP. We illustrate that an improvement by our method exists for many commonly used tests. An empirical study on the effectiveness of a glucose-lowering drug is provided.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:39 |
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| Enthalten in: |
Statistics in medicine - 39(2020), 26 vom: 20. Nov., Seite 3772-3786 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Lu, Zeng-Hua [VerfasserIn] |
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| Links: |
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| Themen: |
Closure method |
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| Anmerkungen: |
Date Completed 31.05.2021 Date Revised 31.05.2021 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1002/sim.8692 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM312824017 |
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| 520 | |a Clinical trials routinely involve multiple hypothesis testing. The closed testing procedure (CTP) is a fundamental principle in testing multiple hypotheses. This article presents an improved CTP in which intersection hypotheses can be tested at a level greater than α such that the control of the familywise error rate at level α remains. Consequently, our method uniformly improves the power of discovering false hypotheses over the original CTP. We illustrate that an improvement by our method exists for many commonly used tests. An empirical study on the effectiveness of a glucose-lowering drug is provided | ||
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