✦ LIBER ✦

Application of multistate models in hospital epidemiology: Advances and challenges

✍ Scribed by Jan Beyersmann; Martin Wolkewitz; Arthur Allignol; Nadine Grambauer; Martin Schumacher

Publisher: John Wiley and Sons
Year: 2011
Tongue: English
Weight: 302 KB
Volume: 53
Category: Article
ISSN: 0323-3847
DOI: 10.1002/bimj.201000146

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

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.

📜 SIMILAR VOLUMES

An application of lifetime models in est

An application of lifetime models in estimation of expected length of stay of patients in hospital with complexity and age adjustment

✍ Jianli Li 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 88 KB 👁 2 views

Expected length of stay (ELOS) of patients in hospital is an important measure in hospital resource utilization management. Previous work has shown that estimation of ELOS is improved using complexity and age adjustment. These improved estimates have the potential to improve the accuracy of estimate