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

Errors in time in pharmacokinetic studies

X Jia1, J R Nedelman

  • 1Department of Clinical Pharmacology, Sandoz Research Institute, Sandoz Pharmaceuticals Corporation, East Hanover, New Jersey 07936, USA.

Journal of Biopharmaceutical Statistics
|July 1, 1996
PubMed
Summary
This summary is machine-generated.

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

VIT-MBRT, a GPU accelerated Monte Carlo tool for investigations on preclinical minibeam radiation therapy.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)·2026
Same author

[The reassessment and prognostic value of cardiac magnetic resonance imaging in patients with ventricular arrhythmia].

Zhonghua xin xue guan bing za zhi·2026
Same author

Overexpression of OsLTSD2 decreases cold tolerance in rice.

Plant biology (Stuttgart, Germany)·2026
Same author

Non-ideal penetration of shaped charge jet into spaced plate based on drift velocity and gap effects.

Scientific reports·2026
Same author

Evidence for the Collective Nature of Radial Flow in Pb+Pb Collisions with the ATLAS Detector.

Physical review letters·2026
Same author

Evaluating the reliability of 2D techniques for tibial anatomical axis definition and posterior tibial slope measurement using a 3D model.

Radiography (London, England : 1995)·2026
Same journal

Correction.

Journal of biopharmaceutical statistics·2026
Same journal

Leveraging external controls in clinical trials: estimands, estimation, assumptions.

Journal of biopharmaceutical statistics·2026
Same journal

Special issue of nonclinical statistics in regulatory applications guest editors' notes.

Journal of biopharmaceutical statistics·2026
Same journal

Comparison of flexible parametric modeling and nonparametric methods to estimate restricted mean survival time: A simulation study.

Journal of biopharmaceutical statistics·2026
Same journal

Simulated treatment comparisons with jackknife pseudo values for estimating population-adjusted marginal treatment effects.

Journal of biopharmaceutical statistics·2026
Same journal

Sample sizes for randomized controlled trials utilizing Bayesian response adaptive randomization for continuous outcomes.

Journal of biopharmaceutical statistics·2026
See all related articles

Pharmacokinetic models accounting for time errors showed decreased parameter precision with larger errors. However, ignoring these time errors during model fitting did not significantly impact accuracy or precision.

Area of Science:

  • Pharmacometrics
  • Computational Biology
  • Statistical Modeling

Background:

  • Pharmacokinetic (PK) models are crucial for understanding drug behavior in the body.
  • Errors in the time variable can arise during data collection or model implementation.
  • The impact of these time errors on PK model parameter estimation is not fully understood.

Purpose of the Study:

  • To develop and evaluate pharmacokinetic models incorporating errors in the time variable.
  • To assess the effect of time variable errors on parameter estimation precision and accuracy.
  • To determine if ignoring time errors during model fitting affects model performance.

Main Methods:

  • Development of pharmacokinetic models with simulated errors in the time variable.

Related Experiment Videos

  • Utilizing NONMEM software for model simulation and parameter estimation.
  • Analysis of parameter precision and accuracy under varying error magnitudes.

    • Main Results:

    • Parameter estimation precision decreased as the magnitude of time errors increased.
    • Standard error estimates were biased low by 10-50% due to time errors.
    • Model accuracy and precision were largely unaffected when time errors were ignored during fitting.

    Conclusions:

    • Simulated errors in the time variable reduce the precision of pharmacokinetic model parameters.
    • Standard error estimates in the presence of time errors are unreliable.
    • Ignoring time errors in pharmacokinetic models may be a viable approach without substantial loss of accuracy or precision.