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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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SAGE Publications
2013
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| 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 |