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...

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Detalles Bibliográficos
Autores principales: DeYoreo, Maria, Rutter, Carolyn M., Ozik, Jonathan, Collier, Nicholson
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research Article
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

Internet

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

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