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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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Chen, Haiying, Quandt, Sara A., Grzywacz, Joseph G., Arcury, Thomas A.
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: 2012
Gaiak:
Sarrera elektronikoa: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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