References | Country | Generic or disease-specific framework | Modelling approaches mentioned within the frameworks | Notes (i.e. relating to semantics and terminology) | ||||||
---|---|---|---|---|---|---|---|---|---|---|
Decision tree | Markov cohort model | Markov microsimulation | Discrete event simulation | Agent-based models | System dynamics | Compartmental models | ||||
Jit and Brisson [6] | United Kingdom; Canada | Infectious-disease | X | X | X | Static model aggregates decision tree and Markov cohort models; dynamic model refers specifically to compartmental models | ||||
Kim [8] | USA | Infectious disease | X | X | X | X | X | X | X | System dynamics models further separated into discrete difference equation, ordinary differential equations and partial differential equations models |
Heeg [7] | The Netherlands | Generic | X | X | X | X | Markov microsimulation referred to as first-order Markov model | |||
Stahl [13] | USA | Generic | X | X | X | X | X | Markov model, in this framework, does not distinguish between Markov cohort models and Markov microsimulations | ||
Chick [11] | France | Generic | X | X | X | X | X | System dynamics model separated into finite difference model and ordinary differential equation (ODE). Markov microsimulation referred to as patient-level simulation DES includes both discrete event simulation and patients evolve on discrete-time grid. Decision tree described in many ways including: decision tree, stochastic decision tree, and stochastic decision tree with covariates | ||
Cooper [12] | United Kingdom | Generic | X | X | X | |||||
Brennan [10] | United Kingdom | Generic | X | X | X | X | X | Markov model also referred to as simulated Markov model. Markov microsimulation separated into simulated patient-level Markov model and individual event history model. System dynamics model also referred to as Markov chain models | ||
Barton [9] | United Kingdom | Generic | X | X | X | X | X | Markov microsimulation referred to as individual sampling model |