Analysis of censored and incomplete survival data using flowgraph models
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Updated: Sep 28, 2026

Monitoring Neuronal Survival via Longitudinal Fluorescence Microscopy
Published on: January 19, 2019
C Lillian Yau1, Aparna V Huzurbazar
1Department of Mathematics and Statistics, University of New Mexico, Albuquerque, NM 87131-1141, USA.
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.
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