Creating synthetic populations in transplantation: A Bayesian approach enabling simulation without registry re-sampling is a research paper published in PLoS ONE (2024). On theSindex it has a DataRank of 0. It has been cited 3 times.
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National Heart, Lung, and Blood Institute
Grant: R01HL153175
Heart, Lung, and Blood Institute
Grant: K08HL159236
National Institutes of Health
Grant: 5R01HL153175-03
Forecasting Lung Transplant Benefit: A Dynamic Risk Modeling Approach
National Institutes of Health
Grant: 5K08HL159236-03
Developing a Donor-Candidate Risk Prediction System to Optimize Lung Allocation and Transplant Outcomes
FWCI
1.11
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals