ArticleCPT: pharmacometrics & systems pharmacology2014
Powers of the likelihood ratio test and the correlation test using empirical bayes estimates for various shrinkages in population pharmacokinetics.
Article in CPT: pharmacometrics & systems pharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Model-based approaches for ivabradine development in paediatric population, part II: PK and PK/PD assessment.Journal of pharmacokinetics and pharmacodynamics · 2016Trial
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- Population Pharmacokinetic/Pharmacodynamic Modeling of Donidalorsen, an Antisense Oligonucleotide in Development for Prophylaxis of Hereditary Angioedema.CPT: pharmacometrics & systems pharmacology · 2026Article
- "De-Shrinking" EBEs: The Solution for Bayesian Therapeutic Drug Monitoring.Clinical pharmacokinetics · 2022Article
- Population Pharmacokinetic-B Cell Modeling for Ofatumumab in Patients with Relapsing Multiple Sclerosis.CNS drugs · 2022Article
- Conditional Non-parametric Bootstrap for Non-linear Mixed Effect Models.Pharmaceutical research · 2021Article
- Covariates in Pharmacometric Repeated Time-to-Event Models: Old and New (Pre)Selection Tools.The AAPS journal · 2018Article
- Population Pharmacokinetics of Stiripentol in Paediatric Patients with Dravet Syndrome Treated with Stiripentol, Valproate and Clobazam Combination Therapy.Clinical pharmacokinetics · 2018Observational
- Adjusted adaptive Lasso for covariate model-building in nonlinear mixed-effect pharmacokinetic models.Journal of pharmacokinetics and pharmacodynamics · 2017Article
- Further Evaluation of Covariate Analysis using Empirical Bayes Estimates in Population Pharmacokinetics: the Perception of Shrinkage and Likelihood Ratio Test.The AAPS journal · 2017Article
- Enhanced Method for Diagnosing Pharmacometric Models: Random Sampling from Conditional Distributions.Pharmaceutical research · 2016Article
- Combined Analysis of Phase I and Phase II Data to Enhance the Power of Pharmacogenetic Tests.CPT: pharmacometrics & systems pharmacology · 2016Article
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Authors and funding
4 authors.
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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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