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- W55460140 abstract "This chapter presents a stochastic compartmental model of preinfarction angina. A stochastic compartmental model (a Markov model with continuous time parameter) is used to estimate the illness–death transitions. The digraph (directed graph) of the model is a flow chart that shows the compartments (boxes) and the transfers (segments) between them. The digraph must be realistic and should contain a sufficient number of compartments and transfers to answer the question of interest. If the model is too complicated, then it may not be possible to estimate all of the model parameters. With an illness–death process, at least two illness compartments (transient states) are required, one to represent the high-risk (critical) state and another to represent the low-risk (stable) state. The transfer from the critical state to the stable state is called recovery and the transfer from stable to critical is called relapse. For the purposes of this study, the disease of interest is preinfarction angina. The chapter presents a flow diagram depicting transitions through disease states. It also discusses the lumped model." @default.
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- W55460140 date "1982-01-01" @default.
- W55460140 modified "2023-10-16" @default.
- W55460140 title "A STOCHASTIC COMPARTMENTAL MODEL OF PREINFARCTION ANGINA" @default.
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- W55460140 doi "https://doi.org/10.1016/b978-0-12-434170-8.50030-3" @default.
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