An Accurate Substitution Method for Analyzing Censored Data.
When analyzing censored datasets, where one or more measurements are below the limit of detection (LOD), the maximum likelihood estimation (MLE) method is often considered the gold standard for estimating the GM and GSD of the underlying exposure profile. A new and relatively simple substitution met...
| Publicado en: | Journal of Occupational & Environmental Hygiene Vol. 7; no. 4; pp. 233 - 245 |
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| Autores principales: | , |
| Formato: | CEU equations & formulas research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Apr2010
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| Acceso en línea: | Ver este registro en EBSCOhost |