| Literature DB >> 29374340 |
Abstract
The aim of this work is to relate the theory of stochastic processes with the differential equations associated with multistate (compartment) models. We show that the Kolmogorov Forward Differential Equations can be used to derive a relation between the prevalence and the transition rates in the illness-death model. Then, we prove mathematical well-definedness and epidemiological meaningfulness of the prevalence of the disease. As an application, we derive the incidence of diabetes from a series of cross-sections.Entities:
Keywords: Fix-Neyman competing risks model; Illness-death model; Incidence; Kolmogorov Differential Equations; Markov processes; Multistate models; Non-parametric estimation of transition rates; Prevalence
Mesh:
Year: 2018 PMID: 29374340 DOI: 10.1007/s10985-018-9419-6
Source DB: PubMed Journal: Lifetime Data Anal ISSN: 1380-7870 Impact factor: 1.588