Document Detail


Chronic disease projections in heterogeneous ageing populations: approximating multi-state models of joint distributions by modelling marginal distributions.
MedLine Citation:
PMID:  19516046     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
To quantify the effects of changes in risk factors for chronic diseases on morbidity and mortality, Markov-type multi-state models are used. However, with multiple risk factors and many diseases relating to these risk factors, these models contain a large number of states. In this paper, we present an alternative modelling methodology implemented in the National Institute for Public Health and the Environment chronic disease model. This model includes multiple states based on risk factor levels and disease stages but only keeps track of the marginal probability values. Starting from the multi-state model, differential equations are derived that describe the change of the marginal distribution for each risk factor class and disease stage, taking into account population heterogeneity and competing mortality risks. The model is illustrated by presenting results of a scenario affecting disease incidence by altering the risk factor distribution of the population. To show the strength of the approximating model, we compare its results to those of the multi-state Markov model.
Authors:
Rudolf T Hoogenveen; Pieter H M van Baal; Hendriek C Boshuizen
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Publication Detail:
Type:  Comparative Study; Journal Article     Date:  2009-06-10
Journal Detail:
Title:  Mathematical medicine and biology : a journal of the IMA     Volume:  27     ISSN:  1477-8602     ISO Abbreviation:  Math Med Biol     Publication Date:  2010 Mar 
Date Detail:
Created Date:  2010-03-08     Completed Date:  2010-05-21     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101182345     Medline TA:  Math Med Biol     Country:  England    
Other Details:
Languages:  eng     Pagination:  1-19     Citation Subset:  IM    
Affiliation:
National Institute of Public Health and the Environment (RIVM), PO Box 1, 3720 BA Bilthoven, The Netherlands.
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MeSH Terms
Descriptor/Qualifier:
Age Factors
Chronic Disease / epidemiology*
Computer Simulation
Female
Humans
Incidence
Male
Markov Chains
Models, Biological*
Models, Statistical*
Risk Factors

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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