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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...

詳細記述

保存先:
書誌詳細
出版年:Stat Med
第一著者: Silva, Ivair R.
フォーマット: Artigo
言語:Inglês
出版事項: 2017
主題:
オンライン・アクセス: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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