Simulation of Populations in a Time-, Age- and Duration Dependent\n Illness-Death Model

2012/12/31 by Ralph Brinks, Brinks, Ralph
Decision Sciences · Health Professions · Mathematics · Medicine · #62N99 #65C60 #92D30 #Advanced Causal Inference Techniques #Chronic Disease Management Strategies #Computation (stat.CO) #FOS: Biological sciences #FOS: Computer and information sciences #Healthcare Operations and Scheduling Optimization #Populations and Evolution (q-bio.PE) #Quantitative Methods (q-bio.QM) #Statistical Methods and Inference #Statistical Methods in Clinical Trials #demographic modeling and climate adaptation

paper · pdf · doi:10.48550/arxiv.1212.6899

openalex publication_date 2012/12/31 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Relevant events in a three state illness-death model (IDM) of a chronic\ndisease are the diagnosis of the disease and death with or without the disease.\nIn this article a simulation framework for populations moving in the IDM is\npresented. The simulation is closely related to the concept of Lexis diagrams\nin event history analysis. Details of the implementation and an example of a\nhypothetical disease are described.\n

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