Improving survival prediction models for liver transplantation candidates

Author(s):
Goudsmit, B.F.J.
Published
2022
Publication type
Doctoral Thesis

Abstract

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 predictionLiver allocationJoint modelsCausal inference
Defense date
2022-06-29
Language
English
Supervisor(s)
Hoek, B. van; Putter, H.
Advisor(s)
Braat, A.E.
Committee member(s)
Metselaar, H.J.; Pirenne, J.; Alwayn, I.P.J.; Fiocco, M.; Coenraad, M.J.
Qualification
Ph.D.
Degree granting institution
Faculty of Medicine, Leiden University Medical Center (LUMC), Leiden University, Leiden
hdl
1887/3421016
ISBN(s)
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.