Powers of the likelihood ratio test and the correlation test using empirical bayes estimates for various shrinkages in population pharmacokinetics. - Inserm - Institut national de la santé et de la recherche médicale Access content directly
Journal Articles CPT: Pharmacometrics and Systems Pharmacology Year : 2014

Powers of the likelihood ratio test and the correlation test using empirical bayes estimates for various shrinkages in population pharmacokinetics.

Abstract

We compared the powers of the likelihood ratio test (LRT) and the Pearson correlation test (CT) from empirical Bayes estimates (EBEs) for various designs and shrinkages in the context of nonlinear mixed-effect modeling. Clinical trial simulation was performed with a simple pharmacokinetic model with various weight (WT) effects on volume (V). Data sets were analyzed with NONMEM 7.2 using first-order conditional estimation with interaction and stochastic approximation expectation maximization algorithms. The powers of LRT and CT in detecting the link between individual WT and V or clearance were computed to explore hidden or induced correlations, respectively. Although the different designs and variabilities could be related to the large shrinkage of the EBEs, type 1 errors and powers were similar in LRT and CT in all cases. Power was mostly influenced by covariate effect size and, to a lesser extent, by the informativeness of the design. Further studies with more models are needed.
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inserm-00978660 , version 1 (14-04-2014)

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François P. Combes, Sylvie Retout, Nicolas Frey, France Mentré. Powers of the likelihood ratio test and the correlation test using empirical bayes estimates for various shrinkages in population pharmacokinetics.. CPT: Pharmacometrics and Systems Pharmacology, 2014, 3, pp.e109. ⟨10.1038/psp.2014.5⟩. ⟨inserm-00978660⟩
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