Statistical Machines for Trauma Hospital Outcomes Research: Application to the PRospective, Observational, Multi-Center Major Trauma Transfusion (PROMMTT) Study

Improving the treatment of trauma, a leading cause of death worldwide, is of great clinical and public health interest. This analysis introduces flexible statistical methods for estimating center-level effects on individual outcomes in the context of highly variable patient populations, such as thos...

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Опубликовано в: :PLoS One
Главные авторы: Moore, Sara E., Decker, Anna, Hubbard, Alan, Callcut, Rachael A., Fox, Erin E., del Junco, Deborah J., Holcomb, John B., Rahbar, Mohammad H., Wade, Charles E., Schreiber, Martin A., Alarcon, Louis H., Brasel, Karen J., Bulger, Eileen M., Cotton, Bryan A., Muskat, Peter, Myers, John G., Phelan, Herb A., Cohen, Mitchell J.
Формат: Artigo
Язык:Inglês
Опубликовано: Public Library of Science 2015
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Research Article
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC4546674/
https://ncbi.nlm.nih.gov/pubmed/26296088
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0136438
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