308 Discrete Event Simulation for Health Technology Assessment
9.5.2 With State-Transition Models
In a state-transition (Markov) model, a problem is represented using dis-
crete states and the transitions among them. These types of models can be
implemented by applying transition probabilities either to an entire group
of people (i.e., a cohort) or to individuals one at a time (i.e., so called micro-
simulation). Either of these can be combined with a DES but the individual
approach is not usually of interest because a DES already subsumes it. In a
DES the states of an individual Markov model can be represented via one
or more attributes (a single one if they are to be true, mutually exclusive,
Markov states). Each individual can have only one ...