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A Bayesian hierarchical nonlinear mixture model in the presence of artifactual outliers in a population pharmacokinetic study

The purpose of this study is to develop a statistical methodology to handle a large proportion of artifactual outliers in a population pharmacokinetic (PK) modeling. The motivating PK data were obtained from a population PK study to examine associations between PK parameters such as clearance of dex...

詳細記述

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書誌詳細
主要な著者: Choi, Leena, Caffo, Brian S., Kohli, Utkarsh, Pandharipande, Pratik, Kurnik, Daniel, Ely, E. Wesley, Stein, C. Michael
フォーマット: Artigo
言語:Inglês
出版事項: 2011
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3182101/
https://ncbi.nlm.nih.gov/pubmed/21847635
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10928-011-9211-7
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