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pubmed-article:8997544pubmed:abstractTextThere is no method available to compare the fit of two non-hierarchical non-linear mixed effects models, although the common practice is to select the model with the lower objective function. Bootstrapping the log-likelihood differences (LLDs) of non-hierarchical models and constructing a bootstrap confidence interval on the LLDs is proposed for comparing the goodness-of-fit of such models. This is illustrated with different parameterizations of clearance models for an anti-infective agent in a longitudinal pharmacokinetic study which are compared. Additive and exponential models of creatinine clearance as a predictor of clearance are used as examples.lld:pubmed
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pubmed-article:8997544pubmed:dateRevised2004-11-17lld:pubmed
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pubmed-article:8997544pubmed:year1996lld:pubmed
pubmed-article:8997544pubmed:articleTitleComparing non-hierarchical models: application to non-linear mixed effects modeling.lld:pubmed
pubmed-article:8997544pubmed:affiliationOffice of Clinical Pharmacology and Biopharmaceutics, Food and Drug Administration, Rockville, MD 20857, USA.lld:pubmed
pubmed-article:8997544pubmed:publicationTypeJournal Articlelld:pubmed