方法证据记录
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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Robust Microsimulation — Uncertainty-integrated individual-level simulation for policy and health analysis
分类方法记录 · 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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