On the role of finite mixture models in survival analysis.
In this paper we review the role of finite mixture models in the field of survival analysis. Finite mixture models can be used to analyse failure-time data in a variety of situations. In particular, they provide a way of modelling time to failure in the case of competing risks.
McLachlan
G J
GJ
University of Queensland, Australia.
McGiffin
D C
DC
D000465:Algorithms; D001021:Aortic Valve / Q000601:surgery; D006349:Heart Valve Diseases / Q000401:mortality / Q000601:surgery; D006350:Heart Valve Prosthesis / Q000706:statistics & numerical data; D006801:Humans; D016013:Likelihood Functions; D015233:Models, Statistical; D016016:Proportional Hazards Models; D011475:Prosthesis Failure; D012086:Reoperation / Q000706:statistics & numerical data; D018570:Risk Assessment; D016019:Survival Analysis; D014183:Transplantation, Heterologous