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Handling Data Below the Limit of Quantification in Mixed Effect Models
The purpose of this study is to investigate the impact of observations below the limit of quantification (BQL) occurring in three distinctly different ways and assess the best method for prevention of bias in parameter estimates and for illustrating model fit using visual predictive checks (VPCs). T...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer US
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2691472/ https://ncbi.nlm.nih.gov/pubmed/19452283 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1208/s12248-009-9112-5 |
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