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Nonlinear Random Effects Mixture Models: Maximum Likelihood Estimation via the EM Algorithm
Nonlinear random effects models with finite mixture structures are used to identify polymorphism in pharmacokinetic/pharmacodynamic phenotypes. An EM algorithm for maximum likelihood estimation approach is developed and uses sampling-based methods to implement the expectation step, that results in a...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2007
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2743159/ https://ncbi.nlm.nih.gov/pubmed/19756256 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2007.03.008 |
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