Comparer des méthodes

	Microsimulation Robuste	Microsimulation
Domaine	Simulation	Simulation
Famille	Process / pipeline	Process / pipeline
Année d'origine	1990s–2000s	1957
Auteur d'origine	Briggs, A. H.; O'Brien, B. J. and others in health technology assessment literature	Guy Orcutt (concept, 1957); modern tax-transfer frameworks developed through EUROMOD and related projects
Type	Simulation with systematic robustness testing	Policy simulation / computational social science
Source fondatrice	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.	O'Donoghue, C. (Ed.) (2014). Handbook of Microsimulation Modelling. Emerald.
Alias	Robust Micro-Simulation, Uncertainty-Robust Microsimulation, Probabilistic Microsimulation, Sensitivity-Enhanced Microsimulation	Mikrosimülasyon, micro-simulation, policy microsimulation
Apparentées	5	5
Résumé	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.	Microsimulation is a computational method that simulates policy effects by operating directly on a population of individual micro-units — households, firms, patients — and applying rules to each unit according to its own demographic, economic, and behavioural characteristics. Developed conceptually by Guy Orcutt in 1957, it has become the standard tool for evaluating tax reform, pension systems, and health policy before implementation.