title: Analysis of censored and incomplete survival data using flowgraph models.
abstract: Multi-state stochastic models are widely used to model stages of disease progression in survival analysis. This paper develops flowgraph models for data analysis in survival analysis. We illustrate these methods using data from a study of diabetic retinopathy consisting of 277 subjects with insulin-dependent (type I) diabetes mellitus (IDDM). These data were collected at the Eye-Kidney Clinic of the Barbara Davis Center for Childhood Diabetes at the University of Colorado Health Sciences Center.
authors.affiliation: Department of Mathematics and Statistics, University of New Mexico, Albuquerque, NM 87131-1141, USA.
authors.forename: C Lillian
authors.initials: CL
authors.lastname: Yau
authors.forename: Aparna V
authors.initials: AV
authors.lastname: Huzurbazar
mesh_terms: D003198:Computer Simulation; D003626:Data Display; D003922:Diabetes Mellitus, Type 1 / Q000473:pathology; D003930:Diabetic Retinopathy / Q000473:pathology; D018450:Disease Progression; D006801:Humans; D016013:Likelihood Functions; D008390:Markov Chains; D015233:Models, Statistical; D013269:Stochastic Processes; D016019:Survival Analysis