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Statistical identifiability and the surrogate endpoint problem, with application to vaccine trials
Given a randomized treatment Z, a clinical outcome Y, and a biomarker S measured some fixed time after Z is administered, we may be interested in addressing the surrogate endpoint problem by evaluating whether S can be used to reliably predict the effect of Z on Y. Several recent proposals for the s...
Gorde:
| Egile Nagusiak: | , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
2010
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3597127/ https://ncbi.nlm.nih.gov/pubmed/20105158 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2009.01380.x |
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