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

Applying Bailer's method for AUC confidence intervals to sparse sampling

J R Nedelman1, E Gibiansky, D T Lau

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

Pharmaceutical Research
|January 1, 1995
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

Population Pharmacokinetics of Obinutuzumab (GA101) in Chronic Lymphocytic Leukemia (CLL) and Non-Hodgkin's Lymphoma and Exposure-Response in CLL.

CPT: pharmacometrics & systems pharmacology·2014
Same author

HLA-G polymorphisms, genetic susceptibility, and clinical outcome in childhood neuroblastoma.

Tissue antigens·2011
Same author

Double blind, placebo controlled trial of the remission inducing and steroid sparing properties of an ICAM-1 antisense oligodeoxynucleotide, alicaforsen (ISIS 2302), in active steroid dependent Crohn's disease.

Gut·2002
Same author

Population pharmacodynamics in patients receiving tinzaparin for the prevention and treatment of deep vein thrombosis.

International journal of clinical pharmacology and therapeutics·2001
Same author

Pharmacokinetics and its role in small molecule drug discovery research.

Medicinal research reviews·2001
Same author

Authentication of medicinal Dendrobium species by the internal transcribed spacer of ribosomal DNA.

Planta medica·2001
Same journal

Leveraging Carnitine-functionalized Lipid Nanocarrier based Targeted Delivery of A1874 PROTAC for Glioblastoma.

Pharmaceutical research·2026
Same journal

Impact of Febrile State on Vancomycin Clearance in Pediatric Patients: Insights From Population Pharmacokinetic Modeling.

Pharmaceutical research·2026
Same journal

Sustained Intra-Articular Delivery of Triple Therapeutics Using a Phase-Transition Phospholipid-Based Gel for Effective Treatment of Gouty Arthritis.

Pharmaceutical research·2026
Same journal

Spray Dried Lysozyme Microspheres: Morphological Evolution and Enzymatic Activity Retention.

Pharmaceutical research·2026
Same journal

Colloidal Stability of Amorphous Nanoparticles in Solution: Impact of Stabilizer.

Pharmaceutical research·2026
Same journal

Impact of Mixing Approach and Bubble Formation on In Situ Forming Implant Properties.

Pharmaceutical research·2026
See all related articles

This study refines methods for calculating confidence intervals for area under the concentration-time curve (AUC) in toxicokinetic studies. The enhanced approach improves variance estimation, leading to more precise results, especially with limited sample sizes.

Area of Science:

  • Pharmacokinetics
  • Toxicology
  • Statistical Modeling

Background:

  • Traditional methods for calculating confidence intervals for area under the concentration-time curve (AUC) often require multiple samples per subject.
  • Bailer's method allows AUC confidence intervals with single samples per subject across multiple subjects and time points.
  • Estimation of variances is crucial for accurate confidence intervals but can be challenging with limited data.

Purpose of the Study:

  • To modify and extend Bailer's method for constructing AUC confidence intervals.
  • To account for the estimation of variances within the statistical framework.
  • To improve the precision of variance estimates by modeling them as a function of the means.

Main Methods:

  • Modification of Bailer's method to incorporate variance estimation.

Related Experiment Videos

  • Development of an extended method modeling variances as a function of means.
  • Application of the modified and extended methods to a rat toxicokinetic study.

    • Main Results:

    • The modified method accounts for variance estimation in AUC confidence intervals.
    • The extended method provides more precise variance estimates by linking them to the means.
    • Both methods were successfully applied to a toxicokinetic study with limited sample sizes (two rats per time point).

    Conclusions:

    • The refined statistical methods enhance the accuracy of AUC confidence intervals in toxicokinetic studies.
    • Modeling variances as a function of means improves precision, particularly valuable in studies with sparse sampling.
    • These advancements support more robust study designs and data interpretation in toxicokinetic research.