隐藏因素——低质量数据是识别新冠死亡风险因素的重大隐患：对诺盖拉、P.J.等人所著《健康先决条件对葡萄牙新冠死亡的影响：来自前20293例感染病例监测数据的证据》的评论。2020年， ，2368。
The Hidden Factor-Low Quality of Data is a Major Peril in the Identification of Risk Factors for COVID-19 Deaths: A Comment on Nogueira, P.J., et al. "The Role of Health Preconditions on COVID-19 Deaths in Portugal: Evidence from Surveillance Data of the First 20293 Infection Cases". 2020, , 2368.
作者信息
Costa-Santos Cristina, Ribeiro-Vaz Inês, Monteiro-Soares Matilde
机构信息
Department of Community Medicine, Information and Health Decision Sciences-MEDCIDS, Faculty of Medicine, University of Porto, 4200-450 Porto, Portugal.
Center for Health Technology and Services Research-CINTESIS, Faculty of Medicine, University of Porto, 4200-450 Porto, Portugal.
出版信息
J Clin Med. 2020 Oct 27;9(11):3442. doi: 10.3390/jcm9113442.
Abstract
We read with great interest the article by Nogueira P [...].
摘要
我们怀着极大的兴趣阅读了诺盖拉·P[……]撰写的文章。
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The Hidden Factor-Low Quality of Data is a Major Peril in the Identification of Risk Factors for COVID-19 Deaths: A Comment on Nogueira, P.J., et al. "The Role of Health Preconditions on COVID-19 Deaths in Portugal: Evidence from Surveillance Data of the First 20293 Infection Cases". 2020, , 2368.隐藏因素——低质量数据是识别新冠死亡风险因素的重大隐患：对诺盖拉、P.J.等人所著《健康先决条件对葡萄牙新冠死亡的影响：来自前20293例感染病例监测数据的证据》的评论。2020年， ，2368。
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Int J Surg. 2020 Apr;76:71-76. doi: 10.1016/j.ijsu.2020.02.034. Epub 2020 Feb 26.
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