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：

暂无

中图分类号：

学科分类号：

摘要：

引用

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