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

Objective criteria for partitioning Gaussian-distributed reference values into subgroups.

Ari Lahti1, Per Hyltoft Petersen, James C Boyd

  • 1Department of Clinical Chemistry, Rikshospitalet University Hospital of Oslo, N-0027 Oslo, Norway. ari.lahti@rikshopitalet

Clinical Chemistry
|January 24, 2002
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

[Detection of faecal blood outside organised screening programmes: the vital role of medical biologists].

Annales de biologie clinique·2026
Same author

Assessment of measurement uncertainty of immunoassays and LC-MS/MS methods for serum 25-hydroxyvitamin D.

Clinical chemistry and laboratory medicine·2025
Same author

Colorectal cancer screening in the UK: A public health intervention of unrealised potential.

Journal of medical screening·2025
Same author

Combining faecal haemoglobin, iron deficiency anaemia status and age can improve colorectal cancer risk prediction in patients attending primary care with bowel symptoms: a retrospective observational study.

Gut·2025
Same author

Correction to: Fecal Immunochemical Test Positivity Thresholds: An International Survey of Population‑Based Screening Programs.

Digestive diseases and sciences·2025
Same author

Fecal Immunochemical Test Positivity Thresholds: An International Survey of Population-Based Screening Programs.

Digestive diseases and sciences·2024

New criteria for partitioning reference values were developed, offering more precise distance calculations than the Harris-Boyd model. These criteria enhance the analysis of Gaussian distributions and aid in subgrouping clinical data.

Area of Science:

  • Clinical chemistry and laboratory medicine
  • Biostatistics and data analysis
  • Reference value determination

Background:

  • Establishing reliable reference values is crucial for accurate clinical interpretation.
  • Existing methods for partitioning reference values into subgroups may lack precision, particularly for Gaussian distributions.

Purpose of the Study:

  • To develop novel criteria for partitioning reference values applicable to Gaussian and transformable-to-Gaussian distributions.
  • To improve the accuracy and reliability of subgrouping reference data compared to existing models.

Main Methods:

  • Developed new criteria based on percentages of subgroups outside reference limits and transformed these into critical distances.
  • Derived critical values from analytical bias quality specifications for geographic reference intervals.

Related Experiment Videos

  • Tested the new criteria using plasma protein data from ~500 individuals and compared them to the Harris-Boyd model.

    • Main Results:

    • Proposed critical minimum (4.1%) and maximum (3.2%) percentages outside reference limits for partitioning/combining subgroups.
    • The new model demonstrated a mathematically precise correlation between critical percentages and distances, unlike the approximate correlation in the Harris-Boyd model.
    • Application examples indicated the new model is more 'radical' (potentially more sensitive to differences) than the Harris-Boyd model.

    Conclusions:

    • Successfully developed new percentage and distance criteria for partitioning Gaussian-distributed data.
    • The new distance criteria, applied to reference limit pairs, showed greater reliability and accuracy compared to the Harris-Boyd model.
    • The new model offers superior adjustability to future changes in critical percentage values.