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Robust Microsimulation/Evidence
Method evidence record

Robust Microsimulation

Robust Microsimulation combines individual-level (micro) simulation with systematic uncertainty analysis — typically probabilistic sensitivity analysis — to generate outputs that are robust to parameter uncertainty, model structure assumptions, and input variability. It is widely used in health technology assessment, public policy, and social science to produce credible, decision-relevant predictions.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Robust Microsimulation — Uncertainty-integrated individual-level simulation for policy and health analysis
Taxonomic method record · process-pipeline / simulation
  • O'Brien, B. J., & Briggs, A. H. (2002). Analysis of uncertainty in health care cost-effectiveness studies: an introduction to statistical issues and methods. Statistical Methods in Medical Research, 11(6), 455-468. · DOI 10.1191/0962280202sm304ra
  • Caro, J. J., Briggs, A. H., Siebert, U., & Burgess, K. A. (2012). Modeling good research practices — overview: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-1. Medical Decision Making, 32(5), 667-677. · DOI 10.1177/0272989X12454577
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Curated claims

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketDeterministic Microsimulationmachine-suggested · Relational suggestion, not evidence.Same method familyMicrosimulationmachine-suggested · Relational suggestion, not evidence.See alsoMONTE-CARLO-SIMULATIONmachine-suggested · Relational suggestion, not evidence.See alsoSENSITIVITY-ANALYSISmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketStochastic Microsimulationmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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