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Development and external-validation of a nomogram for predicting the survival of hospitalised HIV/AIDS patients based on a large study cohort in western China.基于中国西部一项大型研究队列，开发并外部验证了一种列线图，用于预测住院 HIV/AIDS 患者的生存情况。
Epidemiol Infect. 2020 Apr 1;148:e84. doi: 10.1017/S0950268820000758.
2
Ignoring competing events in the analysis of survival data may lead to biased results: a nonmathematical illustration of competing risk analysis.在生存数据分析中忽略竞争事件可能会导致有偏的结果：竞争风险分析的非数学说明。
J Clin Epidemiol. 2020 Jun;122:42-48. doi: 10.1016/j.jclinepi.2020.03.004. Epub 2020 Mar 9.
3
Prevalence of Opportunistic Infections and Causes of Death among Hospitalized HIV-Infected Patients in Sichuan, China.中国四川住院 HIV 感染者机会性感染及死亡原因的流行情况。
Tohoku J Exp Med. 2018 Mar;244(3):231-242. doi: 10.1620/tjem.244.231.
4
Prognostic models with competing risks: methods and application to coronary risk prediction.具有竞争风险的预后模型：方法及其在冠心病风险预测中的应用
Epidemiology. 2009 Jul;20(4):555-61. doi: 10.1097/EDE.0b013e3181a39056.

Inappropriate data selection and statistical method lead to overestimated mortality for hospitalised HIV/AIDS patients.

作者信息

Wang J

机构信息

Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands.

出版信息

Epidemiol Infect. 2020 Jun 22;148:e134. doi: 10.1017/S0950268820001363.

DOI:10.1017/S0950268820001363
PMID:32624063
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7355390/
Abstract
摘要