Method evidence record

Bayesian Microsimulation

Bayesian Microsimulation combines individual-level simulation of heterogeneous populations with Bayesian statistical inference. Each synthetic individual follows a probabilistic life path, while model parameters are governed by prior beliefs updated with observed data. This approach is widely used in health technology assessment, public policy costing, and demographic projection, where uncertainty in both model inputs and structural assumptions must be formally quantified and propagated through to output estimates.

Evidence statusSources recorded, not reviewedBibliographic sources are present. Claim-level evidence review has not been performed.

Source record

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Bayesian Microsimulation — Probabilistic individual-level simulation with Bayesian parameter estimation

Taxonomic method recordprocess-pipelinesimulation

  1. Spiegelhalter, D. J., Abrams, K. R., & Myles, J. P. (2004). Bayesian Approaches to Clinical Trials and Health-Care Evaluation. John Wiley & Sons. · ISBN 9780471499756

Open full method2 recorded citations, copied from the method source record.

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Related methods

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