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Timing HIV infection with a simple and accurate population viral dynamics model
Clinical trials for HIV prevention can require knowledge of infection times to subsequently determine protective drug levels. Yet, infection timing is difficult when study visits are sparse. Using population nonlinear mixed-effects (pNLME) statistical inference and viral loads from 46 RV217 study pa...
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| 出版年: | J R Soc Interface |
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| 主要な著者: | , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
The Royal Society
2021
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8241492/ https://ncbi.nlm.nih.gov/pubmed/34186015 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsif.2021.0314 |
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