id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-325599-2gutb4m1	Lapidus, Nathanael	Biased and unbiased estimation of the average length of stay in intensive care units in the Covid-19 pandemic	2020-10-16		.txt	text/plain	4399	202	50	METHODS: Two estimation methods of ICU_ALOS were compared: the average LOS of already discharged patients at the date of estimation (DPE), and a standard parametric method used for analyzing time-to-event data which fits a given distribution to observed data and includes the censored stays of patients still treated in the ICU at the date of estimation (CPE). In this study, we present a detailed examination of the timeline of the whole cohort of consecutive COVID-19 patients admitted to a devoted ICU of the Zhongnan hospital of Wuhan University (ZHWU) in which we investigated the evolution of the ALOS estimation according to the accumulation of the cases, using two methods of estimation. The study also recalls that appropriate methods of estimation require the inclusion of censored cases in the analysis, and we also demonstrate the important bias associated with calculations only based on the stays of already discharged patients.	./cache/cord-325599-2gutb4m1.txt	./txt/cord-325599-2gutb4m1.txt