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

Effects of 'rogue' points on non-linear fitting

R B Barlow1

  • 1Ravenstonedale, Kirkby Stephen, Cumbria, UK.

Trends in Pharmacological Sciences
|November 1, 1993
PubMed
Summary

Directly fitting data to curves using computers offers advantages over older linear methods. However, this study reveals how

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

Ultraviolet Light from the Nighttime Sky Enhances Retinal Sensitivity of Limulus.

The Biological bulletin·2018
Same author

Limulus Retinal mRNA Induces Light-Dependent Currents in Xenopus Oocytes.

The Biological bulletin·2017
Same author

The Temporal Transfer Function of the Limulus Lateral Eye.

The Biological bulletin·2017
Same author

Evaluation of Circadian Rhythms in the Limulus Eye.

The Biological bulletin·2017
Same author

Effects of some isomers and analogues of nicotine on junctional transmission.

British journal of pharmacology and chemotherapy·2008
Same author

Effects of ph on the activity of nicotine and nicotine monomethiodide on the rat diaphragm preparation.

British journal of pharmacology and chemotherapy·2008

Area of Science:

  • Pharmacology
  • Biostatistics
  • Computational Biology

Background:

  • Traditional Scatchard and Hill plots linearize data for analysis.
  • Direct curve fitting using computers (e.g., Hill equation) bypasses data transformation.
  • Potential impact of data errors on direct curve fitting remains less understood.

Purpose of the Study:

  • To investigate the influence of outlying data points ('rogue' points) on direct curve fitting analyses.
  • To compare the effects of errors on different curve fitting scenarios using equally-weighted least-squares.
  • To provide insights into the robustness of computational methods in pharmacological data analysis.

Main Methods:

  • Repeated analysis of theoretical data sets with introduced errors.
  • Application of equally-weighted least-squares fitting to various data models.
  • Evaluation of error propagation in fitting single lines, competitive antagonist dose-response curves, and irreversible antagonist dose-response curves.

Main Results:

  • Outlying points significantly impact the results of direct curve fitting, with effects varying by data point location.
  • The sensitivity to 'rogue' points differs across the analyzed models, including ligand-binding, dose-response relationships, and pharmacokinetic models.
  • Understanding error propagation is crucial for accurate interpretation of results from direct curve fitting.

Conclusions:

  • Direct curve fitting methods are susceptible to 'rogue' data points, necessitating careful data curation.
  • The study highlights the importance of assessing the impact of errors in computational biological data analysis.
  • Recommendations for robust data analysis in pharmacology and pharmacokinetics are implied.

Related Experiment Videos