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Sequential stopping for high-throughput experiments
In high-throughput experiments, the sample size is typically chosen informally. Most formal sample-size calculations depend critically on prior knowledge. We propose a sequential strategy that, by updating knowledge when new data are available, depends less critically on prior assumptions. Experimen...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Oxford University Press
2013
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3520501/ https://ncbi.nlm.nih.gov/pubmed/22908218 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxs026 |
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