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Copyright ©The Author(s) 2018.
World J Hepatol. Nov 27, 2018; 10(11): 837-848
Published online Nov 27, 2018. doi: 10.4254/wjh.v10.i11.837
Table 1 Summary of types of decision models in liver transplantation
Model typeModel descriptionType of scenario most suited for
Decision treeClinical outcomes are modelled as a series of decision nodes and follow pathways with probabilities for each respective branch.Disease without relapse or recurrence.
Markov modelRepresents sequences of events that lead to different health states with different probabilities of transitioning from one state to another over a defined period of time.Chronic conditions involving recurrent events over time.
MicrosimulationSimulates one individual patient proceeding through the model with the chance of multiple parallel events.Individual level information is important.
Discrete event simulationRepresents the competition for resources and investigates the changes in stochastic systems.Interactions of resource allocation between individuals are of importance.
System dynamic modelModeling interactions within a population and with their environment over time.Spread of infectious diseases.