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Type I Error Probability Spending for Post-market Drug and Vaccine Safety Surveillance with Binomial Data
Type I error probability spending functions are commonly used for designing sequential analysis of binomial data in clinical trials, but it is also quickly emerging for near-continuous sequential analysis of post-market drug and vaccine safety surveillance. It is well known that, for clinical trials...
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| Gepubliceerd in: | Stat Med |
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| Hoofdauteur: | |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2017
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6482950/ https://ncbi.nlm.nih.gov/pubmed/28948642 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.7504 |
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