Comparar métodos

	Microsimulação Robusta	Microsimulação Estocástica
Área	Simulação	Simulação
Família	Process / pipeline	Process / pipeline
Ano de origem	1990s–2000s	1957
Autor original	Briggs, A. H.; O'Brien, B. J. and others in health technology assessment literature	Guy H. Orcutt
Tipo	Simulation with systematic robustness testing	Stochastic individual-level simulation
Fonte seminal	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.	Orcutt, G. H. (1957). A new type of socio-economic system. The Review of Economics and Statistics, 39(2), 116–123.
Outros nomes	Robust Micro-Simulation, Uncertainty-Robust Microsimulation, Probabilistic Microsimulation, Sensitivity-Enhanced Microsimulation	Probabilistic Microsimulation, Monte Carlo Microsimulation, Stochastic Micro-simulation, SMSM
Relacionados	5	6
Resumo	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.	Stochastic Microsimulation tracks a large population of individual units — people, households, or firms — through time by applying random draws from empirically estimated probability distributions at each transition event. Unlike deterministic counterparts, every state change is decided by chance, preserving realistic heterogeneity and allowing rigorous uncertainty quantification across multiple simulation runs.