To generate a robust predictive model of Early (3 months) Graft Loss after liver transplantation, we used a Bayesian approach to combine evidence from a prospective European cohort (Liver-Match) and the United Network for Organ Sharing registry.

Angelico, M., Nardi, A., Romagnoli, R., Marianelli, T., Corradini, S., Agnes, S., Gavrila, C., Salizzoni, M., Pinna, A., Cillo, U., Gridelli, B., De Carlis, L., Colledan, M., Gerunda, G., Costa, A., Strazzabosco, M., A Bayesian methodology to improve prediction of early graft loss after liver transplantation derived from the Liver Match study, <<Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver>>, 2014; (Gennaio): N/A-N/A. [doi:10.1016/j.dld.2013.11.004] [http://hdl.handle.net/10807/51139]

A Bayesian methodology to improve prediction of early graft loss after liver transplantation derived from the Liver Match study

Agnes, Salvatore;
2014

Abstract

To generate a robust predictive model of Early (3 months) Graft Loss after liver transplantation, we used a Bayesian approach to combine evidence from a prospective European cohort (Liver-Match) and the United Network for Organ Sharing registry.
2014
Inglese
Angelico, M., Nardi, A., Romagnoli, R., Marianelli, T., Corradini, S., Agnes, S., Gavrila, C., Salizzoni, M., Pinna, A., Cillo, U., Gridelli, B., De Carlis, L., Colledan, M., Gerunda, G., Costa, A., Strazzabosco, M., A Bayesian methodology to improve prediction of early graft loss after liver transplantation derived from the Liver Match study, <<Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver>>, 2014; (Gennaio): N/A-N/A. [doi:10.1016/j.dld.2013.11.004] [http://hdl.handle.net/10807/51139]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/51139
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