Biased and unbiased estimation of the average length of stay in intensive care units in the Covid-19 pandemic

被引：0
作者：
Nathanael Lapidus
Xianlong Zhou
Fabrice Carrat
Bruno Riou
Yan Zhao
Gilles Hejblum
机构：
[1] Sorbonne Université,Emergency Center
[2] INSERM,Hubei Clinical Research Center for Emergency and Resuscitation
[3] Institut Pierre Louis D’Épidémiologie Et de Santé Publique,undefined
[4] AP-HP,undefined
[5] Hôpital Saint-Antoine,undefined
[6] Unité de Santé Publique,undefined
[7] Zhongnan Hospital of Wuhan University,undefined
[8] Zhongnan Hospital of Wuhan University,undefined
[9] Sorbonne Université,undefined
[10] UMR INSERM 1166,undefined
[11] IHU ICAN,undefined
[12] and AP-HP,undefined
[13] GH Pitié-Salpêtrière,undefined
[14] Sorbonne Université,undefined
[15] INSERM,undefined
[16] Institut Pierre Louis D’Épidémiologie Et de Santé Publique,undefined
来源：
Annals of Intensive Care | / 10卷
关键词：
COVID-19; Pandemics; Intensive care units; Statistical models; China;
D O I：
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学科分类号：
摘要：
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