An algorithm to generate correlated input-parameters to be used in probabilistic sensitivity analyses

Background: Assessment of uncertainty in cost-effectiveness analyses (CEAs) is paramount for decision-making. Probabilistic sensitivity analysis (PSA) estimates uncertainty by varying all input parameters simultaneously within predefined ranges; however, PSA often ignores correlations between parame...

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Detalles Bibliográficos
Autores principales: Neine, Mohamed, Curran, Desmond
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Routledge 2020
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7744153/
https://www.ncbi.nlm.nih.gov/pubmed/33403091
http://dx.doi.org/10.1080/20016689.2020.1857052

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7744153/
https://www.ncbi.nlm.nih.gov/pubmed/33403091
http://dx.doi.org/10.1080/20016689.2020.1857052

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