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

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

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

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

Purpose Microsimulation is a modeling technique that uses a sample size of individual units
(microunits), each with a unique set of attributes, and allows for the simulation of …

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

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

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

Disease simulation models are used to conduct decision analyses of the comparative
benefits and risks associated with preventive and treatment strategies. To address …

Appropriate models in biostatistics are often quite complicated. Such models are typically
most easily fit using Bayesian methods, which can often be implemented using simulation …