Estimating Multiparameter Partial Expected Value of Perfect Information from a Probabilistic Sensitivity Analysis Sample: A Nonparametric Regression Approach

The partial expected value of perfect information (EVPI) quantifies the expected benefit of learning the values of uncertain parameters in a decision model. Partial EVPI is commonly estimated via a 2-level Monte Carlo procedure in which parameters of interest are sampled in an outer loop, and then c...

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Detalles Bibliográficos
Autores principales: Strong, Mark, Oakley, Jeremy E., Brennan, Alan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2013
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4819801/
https://www.ncbi.nlm.nih.gov/pubmed/24246566
http://dx.doi.org/10.1177/0272989X13505910

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4819801/
https://www.ncbi.nlm.nih.gov/pubmed/24246566
http://dx.doi.org/10.1177/0272989X13505910

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