Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Optimization of individual and population designs using Splus.

Sylvie Retout1, France Mentré

  • 1INSERM E0357, Département d'Epidémiologie, Biostatistique et Recherche clinique, Hôpital Bichat-Claude Bernard, 46 rue Henri Huchard 75018 Paris, France. sylvie.retout@bch.ap-hop-paris.fr

Journal of Pharmacokinetics and Pharmacodynamics
|March 6, 2004
PubMed
Summary

This study introduces IFIM and PFIM_OPT, new Splus functions for optimizing individual and population pharmacokinetic study designs. These tools enhance efficiency in determining optimal sampling times and population structures for pharmacokinetic research.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Plasma CXCL13 and fibrosis biomarkers in COVID-19 compared with idiopathic pulmonary fibrosis.

Scientific reports·2026
Same author

High Nasopharyngeal SARS-CoV-2 Load and Delayed Clearance in Hospitalized Patients With Blood Autoantibodies Neutralizing Type I Interferons.

The Journal of infectious diseases·2026
Same author

Objective First, Method Second: Why the Estimand Definition Comes First in Pharmacometric Covariate Modeling.

CPT: pharmacometrics & systems pharmacology·2026
Same author

Assessing Covariate Clinical Relevance in High-Dimensional PK Analysis: A Comparison of SCM+, FFEM, and FREM Approaches.

CPT: pharmacometrics & systems pharmacology·2026
Same author

Advances and Further Comparison of Software Tools for Fisher Information Matrix-Based Design Evaluation in Pharmacometrics.

Pharmaceutical research·2026
Same author

Levels of circulating kidney injury markers and IL-10 identify non-critically ill patients with COVID-19 at risk of death.

JCI insight·2026

Area of Science:

  • Pharmacometrics
  • Computational Biology
  • Statistical Modeling

Background:

  • Optimizing pharmacokinetic (PK) study designs is crucial for efficient drug development.
  • Existing software has limitations in handling both individual and population PK design optimization.

Purpose of the Study:

  • To develop and validate new generic Splus functions for optimizing individual and population pharmacokinetic study designs.
  • To provide efficient computational tools for determining optimal sampling schedules and population structures.

Main Methods:

  • Development of IFIM (Individual) and PFIM_OPT (Population) Splus functions.
  • Utilized the Simplex algorithm for design optimization, including sampling times and group structures.
  • Incorporated a combined variance error model with estimable error parameters.

Related Experiment Videos

Main Results:

  • IFIM and PFIM_OPT demonstrated efficient optimization comparable to existing methods (ADAPT II, grid search, Fedorov-Wynn).
  • Investigated the impact of variance error models and population group structures on design efficiency.
  • Optimized designs were achieved through iterative adjustments of sampling times and group structures.

Conclusions:

  • IFIM and PFIM_OPT offer novel and efficient solutions for pharmacokinetic design optimization.
  • These functions address the growing need for advanced tools in individual and population PK study design.
  • The developed methods provide flexibility in optimizing sampling strategies and population stratification.