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A Systematic Review of Microsimulation Models in Cardiometabolic Disease: Model Calibration and Validation

Danwei Yang et al.

Applied Health Economics and Health Policy2026https://doi.org/10.1007/s40258-026-01036-4article
AJG 1ABDC C
Weight
0.50

What the paper says

Reporting of calibration and validation in recent microsimulation models has improved, but important gaps remain. We suggest that future work prioritize (1) more rigorous calibration and validation in application-based model development, (2) clearer reporting of calibration processes, particularly parameter search strategies and convergence criteria, (3) stronger quantitative performance measures for external validation and greater use of predictive validation, and (4) broader adoption of open-source practices to enhance transparency and reproducibility.

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https://doi.org/https://doi.org/10.1007/s40258-026-01036-4

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@article{danwei2026,
  title        = {{A Systematic Review of Microsimulation Models in Cardiometabolic Disease: Model Calibration and Validation}},
  author       = {Danwei Yang et al.},
  journal      = {Applied Health Economics and Health Policy},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s40258-026-01036-4},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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