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A Bayesian Multiple Imputation Method for Handling Longitudinal Pesticide Data with Values below the Limit of Detection
Environmental and biomedical research often produces data below the limit of detection (LOD), or left-censored data. Imputing explicit values for values < LOD in a multivariate setting, such as with longitudinal data, is difficult using a likelihood-based approach. A Bayesian multiple imputation...
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| Main Authors: | , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2012
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3596170/ https://ncbi.nlm.nih.gov/pubmed/23504271 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/env.2193 |
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