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Updated: May 26, 2025

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从间歇性的纵向数据和未知的时间来源估计平均病毒载荷轨迹

Yonatan Woodbridge1,2, Micha Mandel3, Yair Goldberg4

  • 1The Gertner Institute for Epidemiology & Health Policy Research, Sheba Medical Center, Ramat Gan, Israel.

Statistics in medicine
|February 25, 2025
PubMed
概括

估计病毒载荷 (VL) 轨迹对于理解感染性至关重要. 本研究开发了一种使用两个VL测量的统计方法,以准确地重建典型的每日平均VL曲线,即使感染时间未知.

关键词:
的Ct-值.在EM算法中,EM算法这就是SARS-Cov-2病毒.多变量正常分布的多变量正常分布.

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