Beyersmann Jan, Wolkewitz Martin, Allignol Arthur, Grambauer Nadine, Schumacher Martin
Freiburg Centre for Data Analysis and Modelling, University of Freiburg, Eckerstraße 1, Freiburg, Germany.
Biom J. 2011 Mar;53(2):332-50. doi: 10.1002/bimj.201000146. Epub 2011 Jan 14.
Survival analysis has established itself as a major statistical technique in medical research. Applications in hospital epidemiology, however, are only beginning to emerge. One reason for this delay is that usually complete follow-up of patients in hospital is feasible. This overview discusses where survival techniques provide additional insight into hospital epidemiology, and where they are, in fact, needed even in the absence of right-censoring.
生存分析已成为医学研究中的一项主要统计技术。然而,其在医院流行病学中的应用才刚刚开始出现。这种延迟的一个原因是,通常在医院对患者进行完整随访是可行的。本综述讨论了生存技术在哪些方面能为医院流行病学提供更多见解,以及实际上在哪些方面即使没有右删失也需要生存技术。