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

Pharmacokinetics--uses and abuses

P J Fell, M T Stevens

    European Journal of Clinical Pharmacology
    |April 4, 1975
    PubMed
    Summary
    This summary is machine-generated.

    This study highlights common errors in pharmacokinetic experiment design and data analysis. Addressing these pitfalls is crucial for accurate pharmacokinetic modeling and reliable results.

    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

    Compressed sensing reconstruction improves sensitivity of variable density spiral fMRI.

    Magnetic resonance in medicine·2013
    Same author

    The pipeline. Science faculty with education specialties.

    Science (New York, N.Y.)·2008
    Same author

    Blocked scavenging unit: a case report.

    Anaesthesia·2008
    Same author

    Sodium cromoglicate: an ineffective drug or meta-analysis misused?

    Pharmaceutical statistics·2007
    Same author

    Retracted and replaced: Sodium cromoglicate: an ineffective drug or meta-analysis misused?

    Pharmaceutical statistics·2007
    Same author

    On hiring science faculty with education specialties for your science (not education) department.

    CBE life sciences education·2006
    Same journal

    Efficacy and safety of Ensitrelvir in COVID-19 patients: a systematic review and meta-analysis with focus on viral clearance and RNA change.

    European journal of clinical pharmacology·2026
    Same journal

    Comparing National Health Technology Assessment approaches and the new European Joint Clinical Assessment framework: The case of onco-hematological medicines.

    European journal of clinical pharmacology·2026
    Same journal

    The efficacy of letrozole in the medical management of ectopic pregnancy: a systematic review and meta-analysis.

    European journal of clinical pharmacology·2026
    Same journal

    Detection of intravenous drug physicochemical incompatibilities in clinical practice: e-Harvis compared to reference tools.

    European journal of clinical pharmacology·2026
    Same journal

    Efficacy and safety of doravirine/islatravir for the treatment of HIV-1: a systematic review and meta-analysis of randomized controlled trials with GRADE assessment.

    European journal of clinical pharmacology·2026
    Same journal

    Critical analysis of digitalis glycosides: declining use but increasing poison-center exposure cases for digitoxin.

    European journal of clinical pharmacology·2026
    See all related articles

    Area of Science:

    • Pharmacokinetics
    • Experimental Design
    • Data Analysis

    Background:

    • Misunderstandings in pharmacokinetic study design and result analysis are prevalent in recent literature.
    • Experimental protocols require careful consideration of mathematical, laboratory, and clinical factors.
    • Accurate data is fundamental for meaningful pharmacokinetic modeling.

    Purpose of the Study:

    • To identify and explain common pitfalls in designing pharmacokinetic experiments.
    • To discuss the limitations associated with analyzing pharmacokinetic data.
    • To emphasize the importance of robust experimental design and data quality.

    Main Methods:

    • Review of recent literature on pharmacokinetic study design and analysis.
    • Description of essential mathematical, laboratory, and clinical aspects for protocol development.

    Related Experiment Videos

  • Use of simulated data to illustrate potential issues in parameter estimation.

    • Main Results:

    • Standard computer programs for parameter estimation can yield unreliable results.
    • The choice of analysis method can influence parameter estimates, even when convergence is achieved.
    • Poor quality or insufficient data significantly limits the utility of mathematical models.

    Conclusions:

    • Awareness of experimental design flaws is essential for valid pharmacokinetic studies.
    • Careful data collection and appropriate analytical methods are critical for accurate pharmacokinetic parameter estimation.
    • Robust pharmacokinetic models depend on high-quality, relevant experimental data.