Predicting Hospital Mortality, Length of Stay, and Transfer to Long-Term Care for Injured Patients
Author:
Publisher
Ovid Technologies (Wolters Kluwer Health)
Subject
Critical Care and Intensive Care Medicine,Surgery
Reference18 articles.
1. Epidemiology and short-term outcomes of injured medicare patients.;Clark;J Am Geriatr Soc,2004
2. Modeling injury outcomes using time-to-event methods.;Clark;J Trauma,1997
3. Concurrent prediction of hospital mortality and length of stay from risk factors on admission.;Clark;Health Serv Res,2002
4. Modelling Survival Data in Medical Research.;Collett,1994
5. The Statistical Analysis of Failure Time Data.;Kalbfleisch,2002
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