Background Microsimulation models are mathematical models that simulate event histories
for individual members of a population. They are useful for policy decisions because they …

Mathematical health policy models, including microsimulation models (MSMs), are widely
used to simulate complex processes and predict outcomes consistent with available data …

Microsimulation models (MSMs) are used to inform policy by predicting population-level
outcomes under different scenarios. MSMs simulate individual-level event histories that …

Background. Microsimulation models (MSMs) for health outcomes simulate individual event
histories associated with key components of a disease process; these simulated life histories …

Background. As the complexity of microsimulation models increases, concerns about model
transparency are heightened. Methods. The authors conducted model “experiments” to …

Microsimulation models that describe disease processes synthesize information from
multiple sources and can be used to estimate the effects of screening and treatment on …

This chapter discusses validation of simulation models used to inform health policy. We
focus on microsimulation models that simulate the life histories of individual agents in …

Calibration of a microsimulation model (MSM) is a challenging but crucial step for the
development of a valid model. Numerous calibration methods for MSMs have been …

Microsimulation models are becoming increasingly common in the field of decision
modeling for health. Because microsimulation models are computationally more demanding …

Microsimulation is fast becoming the approach of choice for modelling and analysing
complex processes in the absence of mathematical tractability. While this approach has …