@article{5b1a0392cc6d4e76b421e7650662fc7c,
title = "A Bayesian methodology to improve prediction of early graft loss after liver transplantation derived from the Liver Match study",
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.",
keywords = "Donor Risk Index, Donor-recipient match, Graft failure, Hepatitis C, Risk factors, Transplantation outcome, Donor Risk Index, Donor-recipient match, Graft failure, Hepatitis C, Risk factors, Transplantation outcome",
author = "Salvatore Agnes and Mario Angelico and Alessandra Nardi and Renato Romagnoli and Tania Marianelli and Corradini, {Stefano Ginanni} and Francesco Tandoi and Caius Gavrila and Mauro Salizzoni and Pinna, {Antonio D.} and Umberto Cillo and Bruno Gridelli and {De Carlis}, {Luciano G.} and Michele Colledan and Gerunda, {Giorgio E.} and Costa, {Alessandro Nanni} and Mario Strazzabosco",
year = "2014",
doi = "10.1016/j.dld.2013.11.004",
language = "English",
pages = "N/A--N/A",
journal = "Digestive and Liver Disease",
issn = "1590-8658",
publisher = "Elsevier",
}