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
Recorded
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Bayesian Microsimulation — Probabilistic individual-level simulation with Bayesian parameter estimation
Taxonomic method recordprocess-pipelinesimulation
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
Suggested6
Generated from the method graph and shown as machine-suggested relations. No evidence claim is inferred.
- Taxonomic bucketAgent-based microsimulation
machine-suggestedRelational suggestion, not evidence.
- See alsoBayesian Inference
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketMarkov Model
machine-suggestedRelational suggestion, not evidence.
- Same method familyMicrosimulation
machine-suggestedRelational suggestion, not evidence.
- See alsoMONTE-CARLO-SIMULATION
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketStochastic Microsimulation
machine-suggestedRelational suggestion, not evidence.