ArticleJournal of pharmacokinetics and pharmacodynamics2024
Generation of realistic virtual adult populations using a model-based copula approach.
Article in Journal of pharmacokinetics and pharmacodynamics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Article
- A Copula-Based Framework for Modeling Dependency Structures in PBPK Virtual Populations: A Chinese Adult Case Study.Pharmaceutical research · 2026Article
- Simulation-Based Evaluation of Busulfan Sampling Strategies in Adults and Adolescents Undergoing Allogeneic Hematopoietic Stem Cell Transplantation.Journal of clinical pharmacology · 2026Article
- Copulas for Covariate Simulation in Pharmacometrics.CPT: pharmacometrics & systems pharmacology · 2026Article
- Bridging the Heterogeneity of Myasthenia Gravis Scores as a Foundational Step Towards the Construction of a Digital Twin.Biomedicines · 2025Article
- A Systematic Evaluation of the Dosing Regimens for Approved Targeted Therapies and Immune Checkpoint Inhibitors in Metastatic Renal Cell Carcinoma From a Project OPTIMUS Perspective.Journal of clinical pharmacology · 2025Review
- Bridging the Heterogeneity of Myasthenia Gravis Severity Scores for Digital Twin Development.medRxiv : the preprint server for health sciences · 2025Article
- In Silico Assessment of Limited Blood Sampling Strategies for Individualised Pharmacokinetic-guided Dosing of Efanesoctocog Alfa in Haemophilia A Patients.Haemophilia : the official journal of the World Federation of HemophiliaArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Incorporating realistic sets of patient-associated covariates, i.e., virtual populations, in pharmacometric simulation workflows is essential to obtain realistic model predictions. Current covariate simulation strategies often omit or simplify dependency structures between covariates. Copula models are multivariate distribution functions suitable to capture dependency structures between covariates with improved performance compared to standard approaches. We aimed to develop and evaluate a copula model for generation of adult virtual populations for 12 patient-associated covariates commonly used in pharmacometric simulations, using the publicly available NHANES database, including sex, race-ethnicity, body weight, albumin, and several biochemical variables related to organ function. A multivariate (vine) copula was constructed from bivariate relationships in a stepwise fashion. Covariate distributions were well captured for the overall and subgroup populations. Based on the developed copula model, a web application was developed. The developed copula model and associated web application can be used to generate realistic adult virtual populations, ultimately to support model-based clinical trial design or dose optimization strategies.
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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 OpenQuestion graph.