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Extension of the SAEM algorithm for nonlinear mixed models with 2 levels of random effects
This article focuses on parameter estimation of multi-levels nonlinear mixed effects models (MNLMEMs). These models are used to analyze data presenting multiple hierarchical levels of grouping (cluster data, clinical trials with several observation periods,…). The variability of the individual param...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Oxford University Press
2009
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2722900/ https://ncbi.nlm.nih.gov/pubmed/18583352 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxn020 |
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