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

The five-parameter logistic: a characterization and comparison with the four-parameter logistic.

Paul G Gottschalk1, John R Dunn

  • 1Brendan Technologies, Inc., 2236 Rutherford Road, Suite 107, Carlsbad, CA 92008, USA. pgottschalk@brendan.com

Analytical Biochemistry
|June 15, 2005
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

Accuracy of Fluoroscopic Navigation for Predicting Leg Length and Offset in Primary Hip Arthroplasty.

The Journal of arthroplasty·2026
Same author

Genetic and vaccination studies reveal feather viral load as a potential biomarker for individual and flock-level protection against Marek's disease in chicken.

Avian pathology : journal of the W.V.P.A·2026
Same author

The use of an avian macrophage-like cell line (HD11) transduced with recombinant lentiviruses to dissect the immunomodulatory role of Marek's disease virus gene products.

Virus genes·2026
Same author

Phylogeographic clustering of <i>Salmonella enterica</i> serovar Mississippi in the southeastern United States indicates regional transmission pathways.

Applied and environmental microbiology·2026
Same author

Contribution of the major histocompatibility complex (MHC) B locus-based genetic resistance to multiple strains of infectious bursal disease virus.

Avian pathology : journal of the W.V.P.A·2025
Same author

Risk factors associated with Cryptosporidium species and genotypes in Tennessee, 2018-2023.

BMC infectious diseases·2025
Same journal

Lysozyme assay using a rationally designed GN4G2 substrate with coupled β-glucosidase reaction.

Analytical biochemistry·2026
Same journal

The long run: A tribute to Arthur Joseph Lawrence Cooper.

Analytical biochemistry·2026
Same journal

Evaluation of a method for affinity measurement using solution equilibrium titration with magnetic beads.

Analytical biochemistry·2026
Same journal

Metabolomics approach using UHPLC/QE-MS for the mechanism of He Xue Ming Mu tablets on non-proliferative diabetic retinopathy.

Analytical biochemistry·2026
Same journal

UniRES-GO: Unified residue-level early fusion of sequence and predicted structure for protein function prediction.

Analytical biochemistry·2026
Same journal

IgG detection by enzyme-linked mass spectrometric assay versus color, fluorescent, ECL in buffer and serum.

Analytical biochemistry·2026
See all related articles

The five-parameter logistic (5PL) function significantly improves assay accuracy for asymmetric data compared to the four-parameter logistic (4PL) model. Recent software advances make 5PL fitting easier, enhancing concentration estimates in bioassays.

Area of Science:

  • Biostatistics
  • Assay Development
  • Pharmacokinetics

Background:

  • Assay technology advancements minimize random variation, making data asymmetry a critical factor.
  • The four-parameter logistic (4PL) model, a symmetric function, is often used despite data asymmetry.
  • Asymmetric data can lead to inaccurate results when analyzed with symmetric models.

Purpose of the Study:

  • To demonstrate the superiority of the five-parameter logistic (5PL) function over the 4PL function for analyzing asymmetric assay data.
  • To quantify the improvement in accuracy of concentration estimates using 5PL versus 4PL as a function of data asymmetry.
  • To discuss the behavior of the 5PL curve and its differences from the 4PL curve.

Main Methods:

  • Fitting dose-response data using the 5PL function.

Related Experiment Videos

  • Comparing the accuracy of concentration estimates derived from 5PL and 4PL models.
  • Analyzing the impact of data asymmetry on model performance.
  • Examining experimental designs that may cause ill-conditioned regression problems.

    • Main Results:

    • The 5PL function effectively accommodates assay data asymmetry, leading to improved accuracy.
    • Significant improvements in concentration estimates are observed with 5PL compared to 4PL for asymmetric data.
    • Recent advances in numerical methods and software simplify the fitting process for the 5PL function.

    Conclusions:

    • The 5PL function offers a more accurate analysis of asymmetric dose-response data than the 4PL function.
    • Easier implementation of 5PL fitting due to software advancements promotes its wider adoption.
    • Accurate analysis of assay data, especially asymmetric data, is crucial for reliable experimental outcomes.