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Chapter 64: Multi-State Modelling
Multi-state modelling (MSM) is concerned with the transition of individuals (or ‘cases’) between different states. Even though MSM sought applications initially in survival analysis (and hence most of the terminology comes from this field), lately the range of applications has increased to cover different areas, from epidemiology to finance and risk management. The interest in this type of models is in the transition rates between different states and, where there is more than one possible state to make transition to, the probability of entering a given state.
Advances in development and research implementation of MSM became possible mainly because of advances in Markov chain methodology and, more particularly, the advancements in Markov chain, Monte Carlo simulation which serves as an essential mathematical tool for ...