Leiden University Scholarly Publications

Persistent URL of this record https://hdl.handle.net/1887/3421016

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Goudsmit, B.F.J. (2022)

Improving survival prediction models for liver transplantation candidates

Doctoral Thesis
The persistent scarcity of donor liver grafts necessitates prioritization of patients based on expected future survival without transplantation. The goal of this thesis was to improve survival prediction models for patients on the LT waiting list. Through advancements in prediction models, liver grafts can be allocated in the best way possible.
Survival prediction
Liver allocation
Joint models
Causal inference
All authors
Goudsmit, B.F.J.
Supervisor
Hoek, B. van; Putter, H.
Co-supervisor
Braat, A.E.
Committee
Metselaar, H.J.; Pirenne, J.; Alwayn, I.P.J.; Fiocco, M.; Coenraad, M.J.
Qualification
Doctor (dr.)
Awarding Institution
Faculty of Medicine, Leiden University Medical Center (LUMC), Leiden University
Date
2022-06-29
ISBN (print)
9789464194852

Funding

Sponsorship
Financial support for the publication of this thesis was kindly provided by the LUMC biostatistics department, the Dutch Transplant Society, Chipsoft and Chiesi Pharmaceuticals BV.