ArticlePharmaceutics2020
An Algorithm for Nonparametric Estimation of a Multivariate Mixing Distribution with Applications to Population Pharmacokinetics.
Article in Pharmaceutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Defining Optimal Sampling Strategies for Cefepime Model-Informed Precision Dosing.Therapeutic drug monitoring · 2026Article
- Bayesian Dosing Simulator (BDS): A Pharmacokinetic Modeling Tool for Optimized Antibiotic Therapy.Pharmacotherapy · 2026Article
- Rising Role of Artificial Intelligence in Clinical Pharmacometrics and Model-Informed Precision Dosing in Pediatrics.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2026Article
- Analyzing Pharmacodynamic Count Data That Rapidly Decrease to Zero.CPT: pharmacometrics & systems pharmacology · 2026Article
- An Open-Source Framework for Virtual Bioequivalence Modeling and Clinical Trial Design.CPT: pharmacometrics & systems pharmacology · 2025Article
- Population pharmacokinetics of meropenem-vaborbactam in acutely ill hospitalized patients with various degrees of renal dysfunction including continuous renal replacement therapy.Antimicrobial agents and chemotherapy · 2025Article
- Individual target pharmacokinetic/pharmacodynamic attainment rates among cefepime-treated patients admitted to the ICU with hospital-acquired pneumonia with and without ECMO.Antimicrobial agents and chemotherapy · 2025Article
- Multiple Model Optimal Sampling Promotes Accurate Vancomycin Area-Under-the-Curve Estimation Using a Single Sample in Critically Ill Children.Therapeutic drug monitoring · 2025Article
- RPEM: Randomized Monte Carlo parametric expectation maximization algorithm.CPT: pharmacometrics & systems pharmacology · 2024Article
- Individual meropenem epithelial lining fluid and plasma PK/PD target attainment.Antimicrobial agents and chemotherapy · 2023Article
- Optimizing Vancomycin Therapy in Critically Ill Children: A Population Pharmacokinetics Study to Inform Vancomycin Area under the Curve Estimation Using Novel Biomarkers.Pharmaceutics · 2023Article
- A Method for Evaluating Robustness of Limited Sampling Strategies-Exemplified by Serum Iohexol Clearance for Determination of Measured Glomerular Filtration Rate.Pharmaceutics · 2023Article
- A proof of concept reinforcement learning based tool for non parametric population pharmacokinetics workflow optimization.Journal of pharmacokinetics and pharmacodynamics · 2023Article
- Isavuconazole Pharmacokinetics and Pharmacodynamics in Children.Pharmaceutics · 2022Article
- Individualized Patient Care Through Model-Informed Precision Dosing: Reflections on Training Future Practitioners.The AAPS journal · 2022Article
- Combination Therapy to Kill Mycobacterium tuberculosis in Its Nonreplicating Persister Phenotype.Antimicrobial agents and chemotherapy · 2022Article
- Population PBPK modeling using parametric and nonparametric methods of the Simcyp Simulator, and Bayesian samplers.CPT: pharmacometrics & systems pharmacology · 2022Article
- Building Optimal Three-Drug Combination Chemotherapy Regimens To Eradicate Mycobacterium tuberculosis in Its Slow-Growth Acid Phase.Antimicrobial agents and chemotherapy · 2021Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Population pharmacokinetic (PK) modeling has become a cornerstone of drug development and optimal patient dosing. This approach offers great benefits for datasets with sparse sampling, such as in pediatric patients, and can describe between-patient variability. While most current algorithms assume normal or log-normal distributions for PK parameters, we present a mathematically consistent nonparametric maximum likelihood (NPML) method for estimating multivariate mixing distributions without any assumption about the shape of the distribution. This approach can handle distributions with any shape for all PK parameters. It is shown in convexity theory that the NPML estimator is discrete, meaning that it has finite number of points with nonzero probability. In fact, there are at most
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.