Statistical Efficiency in Multiple-to-One Comparison Trials with Optimal Allocation Ratio
| Autor: | Jianliang Zhang, Jenny J. Zhang |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Pharmacology
Statistics and Probability Vaccines Mathematical optimization Models Statistical Multivalent Vaccine Treatment Outcome Efficiency Bias Unequal variance Influenza Vaccines Research Design Sample size determination Sample Size Statistics Optimal allocation Humans Pharmacology (medical) Randomized Controlled Trials as Topic Mathematics |
| Zdroj: | Journal of Biopharmaceutical Statistics. 21:125-135 |
| ISSN: | 1520-5711 1054-3406 |
| Popis: | This paper discusses multiple-to-one comparison trials testing a multivalent vaccine product against multiple comparators with respect to immunologic responses. An optimal subject allocation ratio between the multivalent vaccine group and any of the comparators is introduced. This optimal ratio leads to higher statistical efficiency in terms of savings in sample size compared to equal allocation or any other allocation ratios. Several trial design scenarios are considered including assumptions of equal standardized effect size, unequal variance, and unequal standardized effect sizes of the multivalent vaccines versus the multiple comparators. |
| Databáze: | OpenAIRE |
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