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Sequentially calibrating a Bayesian microsimulation model to incorporate new information and assumptions
BACKGROUND: Microsimulation models are mathematical models that simulate event histories for individual members of a population. They are useful for policy decisions because they simulate a large number of individuals from an idealized population, with features that change over time, and the resulti...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756687/ https://www.ncbi.nlm.nih.gov/pubmed/35022005 http://dx.doi.org/10.1186/s12911-021-01726-0 |