Literature DB >> 12436467

Analysis of censored and incomplete survival data using flowgraph models.

C Lillian Yau1, Aparna V Huzurbazar.   

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. Copyright 2002 John Wiley & Sons, Ltd.

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Year:  2002        PMID: 12436467     DOI: 10.1002/sim.1237

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  1 in total

1.  Topology and static response of interaction networks in molecular biology.

Authors:  Ovidiu Radulescu; Sandrine Lagarrigue; Anne Siegel; Philippe Veber; Michel Le Borgne
Journal:  J R Soc Interface       Date:  2006-02-22       Impact factor: 4.118

  1 in total

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