# Microsimulation Model Calibration using Incremental Mixture Approximate Bayesian Computation

@article{Rutter2018MicrosimulationMC, title={Microsimulation Model Calibration using Incremental Mixture Approximate Bayesian Computation}, author={C. Rutter and J. Ozik and Maria DeYoreo and Nicholson T. Collier}, journal={arXiv: Methodology}, year={2018} }

Microsimulation models (MSMs) are used to predict population-level effects of health care policies by simulating individual-level outcomes. Simulated outcomes are governed by unknown parameters that are chosen so that the model accurately predicts specific targets, a process referred to as model calibration. Calibration targets can come from randomized controlled trials, observational studies, and expert opinion, and are typically summary statistics. A well calibrated model can reproduce a wide… CONTINUE READING

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