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Sample Size Considerations for Assessing Vaccine Consistency through Equivalence
The aim of a consistency study is to prove equivalence between multiple pairs of production batches. In this paper it is shown that an adequate overall power to conclude consistency can be achieved by using the principle of Bonferroni adjustment on the type II error. Simulations suggest that the nom...
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Published in: | Drug information journal 1999, Vol.33 (1), p.149-151 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The aim of a consistency study is to prove equivalence between multiple pairs of production batches. In this paper it is shown that an adequate overall power to conclude consistency can be achieved by using the principle of Bonferroni adjustment on the type II error. Simulations suggest that the nominal alpha level for pairwise comparison of batches can be increased above 0.05 in order to maintain the overall type I error of concluding false consistency below 0.05. |
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ISSN: | 2168-4790 0092-8615 2168-4804 2164-9200 |
DOI: | 10.1177/009286159903300117 |