Compartmental models and competing risk.

G M Tallis

doi:10.1016/0025-5564(94)90033-7

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Compartmental models and competing risk.

G M Tallis

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Abstract

General compartmental models are derived using competing risk arguments. When the risk variables are exponential, the results specialize to the standard stationary Markov compartmental model. Iterative methods of solving the fundamental integral equation are given, and the uniqueness of the solution is incidentally established. The analysis is extended to include fixed inputs, orderly and nonorderly stream infusions, and time dependency. The study is motivated by a biological system that evolves through various stages over time.

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Biological Evolution Markov Chains Mathematics Models, Biological Risk Stochastic Processes Journal Article

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G M Tallis. 1994. Compartmental models and competing risk.. https://doi.org/10.1016/0025-5564(94)90033-7

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