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Optimizing Sample Size Allocation and Power in a Bayesian Two-Stage Drop-The-Losers Design
When a researcher desires to test several treatment arms against a control arm, a two-stage adaptive design can be more efficient than a single-stage design where patients are equally allocated to all treatment arms and the control. We see this type of approach in clinical trials as a seamless Phase...
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| Publicado no: | Am Stat |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7517602/ https://ncbi.nlm.nih.gov/pubmed/32981939 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/00031305.2019.1610065 |
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