Abstract
© 2017 The Healthcare Infection Society Length of stay is one of the key determinants for the risk of nosocomial infections. The distribution of this at-risk time is heavily skewed and depends on discharge or death. This study applied landmark competing risk prediction models to account for a large proportion of short-stay patients and a small proportion of long-stay patients.
Original language | English |
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Pages (from-to) | 81-84 |
Journal | Journal of Hospital Infection |
Volume | 96 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 May 2017 |
Keywords
- Competing risks
- Hospital mortality
- Hospital-acquired infections
- Length of stay
- Time-to-event analysis