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

Estimating reference ranges in clinical pathology: an objective approach.

S Merkouriou1, D Dix

  • 1Department of Biology and Health Science, University of Hartford, CT 06117.

Statistics in Medicine
|March 1, 1988
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

A role for surgery in the treatment of relapsed Hodgkin lymphoma.

Pediatric blood & cancer·2018
Same author

Single nucleotide polymorphism in IL1B is associated with infection risk in paediatric acute myeloid leukaemia.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases·2016
Same author

Understanding the healthcare experiences of teenaged cancer patients and survivors.

Child: care, health and development·2013
Same author

Invasive fungal infections in paediatric acute myeloid leukaemia.

Mycoses·2013
Same author

Caregiving, single parents and cumulative stresses when caring for a child with cancer.

Child: care, health and development·2012
Same author

The use of parenteral nutrition for the management of PKU patient undergoing chemotherapy for lymphoma: a case report.

Molecular genetics and metabolism·2012
Same journal

Predictor-Assisted Nonparametric Graphical Models With Multivariate Error-Prone Data.

Statistics in medicine·2026
Same journal

Optimizing Treatment Decision Estimation for Right-Censored Survival Data Through Parameter Transfer Learning.

Statistics in medicine·2026
Same journal

Latent Class Log-Linear Models for Estimating Diagnostic Test Accuracy Without a Gold Standard: A Simulation Study.

Statistics in medicine·2026
Same journal

Interpretable Bayesian Modeling for Multireader Multicase Studies: Addressing Overdispersion and Limited Sample Size in Diagnostic Enhancement Evaluation.

Statistics in medicine·2026
Same journal

Adaptive Sequential Multiple Hypotheses Testing for Concomitant Vaccine Safety Surveillance.

Statistics in medicine·2026
Same journal

Novel Distance Regression for Repeated Outcomes With Missing Data: Applications to Longitudinal and Crossover Studies of Microbiome Beta-Diversity.

Statistics in medicine·2026
See all related articles

This study introduces an objective statistical method to define medical reference ranges, moving beyond subjective health criteria. This approach establishes reliable, data-driven typical values for better clinical interpretation.

Area of Science:

  • Clinical chemistry
  • Biostatistics
  • Medical diagnostics

Background:

  • Traditional medical reference ranges often rely on subjective criteria, potentially leading to ambiguity in health and disease classification.
  • There is a need for more objective and statistically sound methods to define normal physiological values.

Purpose of the Study:

  • To develop and present an objective, purely statistical method for establishing medical reference ranges.
  • To differentiate between typical and atypical physiological values based on defined statistical criteria.

Main Methods:

  • Defined typical values as those showing a linear relationship with percentiles on a value-versus-percentile plot.
  • Calculated correlation coefficients between values and percentiles across expanding central ranges.

Related Experiment Videos

  • Established a minimum correlation coefficient (e.g., 0.990) as the criterion for deviation from linearity.
  • Main Results:

    • The method successfully identifies percentiles where deviation from linearity occurs, defining objective reference ranges.
    • The proposed statistical criteria allow for a clear distinction between typical and atypical values.

    Conclusions:

    • This statistical approach provides an objective framework for defining medical reference ranges, enhancing diagnostic accuracy.
    • Further clinical follow-up studies are necessary to correlate identified atypical values with specific disease symptoms.