The impact of missing trauma data on predicting massive transfusion

INTRODUCTION: Missing data are inherent in clinical research and may be especially problematic for trauma studies. This study describes a sensitivity analysis to evaluate the impact of missing data on clinical risk prediction algorithms. Three blood transfusion prediction models were evaluated utili...

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Main Authors: Trickey, Amber W., Fox, Erin E., del Junco, Deborah J., Ning, Jing, Holcomb, John B., Brasel, Karen J., Cohen, Mitchell J., Schreiber, Martin A., Bulger, Eileen M., Phelan, Herb A., Alarcon, Louis H., Myers, John G., Muskat, Peter, Cotton, Bryan A., Wade, Charles E., Rahbar, Mohammad H.
Formato: Artigo
Idioma:Inglês
Publicado: 2013
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Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC3736742/
https://ncbi.nlm.nih.gov/pubmed/23778514
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/TA.0b013e3182914530
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