title: Comparing non-hierarchical models: application to non-linear mixed effects modeling.
abstract: There 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.
authors.affiliation: Office of Clinical Pharmacology and Biopharmaceutics, Food and Drug Administration, Rockville, MD 20857, USA.
authors.forename: E I
authors.initials: EI
authors.lastname: Ette
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000890:Anti-Infective Agents / Q000493:pharmacokinetics*; D003404:Creatinine / Q000378:metabolism; D003627:Data Interpretation, Statistical; D005260:Female; D006801:Humans; D016013:Likelihood Functions; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical
chemical_list: D000890:Anti-Infective Agents; D003404:Creatinine