title: Multistate modelling of liver transplantation data.
abstract: This paper concerns the survival analysis of liver transplant patients when patients with a potentially fatal rejection of the transplanted organ may receive a retransplant. A multistate model, analysing the states 'alive with first graft' and 'alive with second graft' separately, is suggested. Proportional hazards models and logistic regression models are used to evaluate which risk factors related to donor, preservation and recipient, influence the transition intensities. The complete model is used to predict overall survival of a patient and to study the influence of the risk factors on total survival.
authors.affiliation: Department of Medical Statistics, Leiden University, The Netherlands.
authors.forename: B E
authors.initials: BE
authors.lastname: Hansen
authors.forename: J
authors.initials: J
authors.lastname: Thorogood
authors.forename: J
authors.initials: J
authors.lastname: Hermans
authors.forename: R J
authors.initials: RJ
authors.lastname: Ploeg
authors.forename: J H
authors.initials: JH
authors.lastname: Van Bockel
authors.forename: J C
authors.initials: JC
authors.lastname: Van Houwelingen
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D003933:Diagnosis; D005260:Female; D006085:Graft Survival; D006648:Histocompatibility; D006801:Humans; D017114:Liver Failure, Acute; D016031:Liver Transplantation / Q000401:mortality*; D016015:Logistic Models; D008297:Male; D016016:Proportional Hazards Models; D012086:Reoperation / Q000401:mortality*; D012307:Risk Factors; D012737:Sex Factors; D016019:Survival Analysis; D013997:Time Factors; D014019:Tissue Donors