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A note on familywise error rate for a primary and secondary endpoint
Michael A Proschan1, Dean A Follmann1
1Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, Bethesda, Maryland, USA.
The naive approach to testing secondary endpoints in clinical trials inflates the type I error rate, failing to control the overall familywise error rate. This common misconception needs correction to ensure accurate trial results.
Area of Science:
- Biostatistics
- Clinical Trial Design
- Statistical Inference
Background:
- Clinical trials often involve primary and secondary endpoints.
- Gatekeeping strategies are used to control error rates when testing multiple endpoints.
- Previous work by Hung et al. (2007) and Tamhane et al. (2010) highlighted issues with specific gatekeeping methods.
Purpose of the Study:
- To clarify why the naive approach to testing secondary endpoints in a two-look clinical trial fails to control the familywise error rate.
- To explain the misconception that the closure principle validates the naive approach.
- To demonstrate the extent of type I error rate inflation with the naive method.
Main Methods:
- Review and explanation of the gatekeeping approach in clinical trials.
- Analysis of a two-look trial scenario.
- Discussion of statistical principles, including the closure principle.
- Illustrative examples of alpha inflation.
Main Results:
- The naive method of testing a secondary endpoint at the full alpha level, even after the primary endpoint reaches significance, inflates the familywise error rate.
- The closure principle does not validate this naive procedure.
- Alpha inflation can be substantial, comparable to unadjusted monitoring of a single endpoint.
Conclusions:
- The naive approach for testing secondary endpoints in clinical trials is flawed and does not control the familywise error rate.
- Researchers must be cautious about applying the closure principle to justify this naive procedure.
- Accurate statistical methods are crucial for maintaining the integrity of clinical trial results.
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