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| Mô phỏng vi mô mạnh mẽ× | Phân tích độ nhạy× | |
|---|---|---|
| Lĩnh vực≠ | Mô phỏng | Ra quyết định |
| Họ≠ | Process / pipeline | MCDM |
| Năm ra đời≠ | 1990s–2000s | 2004 |
| Người khởi xướng≠ | Briggs, A. H.; O'Brien, B. J. and others in health technology assessment literature | Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. |
| Loại≠ | Simulation with systematic robustness testing | Robustness wrapper — parameter / weight perturbation sensitivity indices |
| Công trình gốc≠ | 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 ↗ | Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. (2004). Sensitivity Analysis in Practice. Wiley, Chichester DOI ↗ |
| Tên gọi khác≠ | Robust Micro-Simulation, Uncertainty-Robust Microsimulation, Probabilistic Microsimulation, Sensitivity-Enhanced Microsimulation | — |
| Liên quan≠ | 5 | 0 |
| Tóm tắt≠ | 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. | SENSITIVITY-ANALYSIS (Sensitivity Analysis — Systematic assessment of output variation w.r.t. input perturbations) is a ranking multi-criteria decision-making (MCDM) method introduced by Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. in 2004. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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