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

Constructing time-specific reference ranges.

P Royston1

  • 1Department of Medical Physics, Royal Postgraduate Medical School, London, U.K.

Statistics in Medicine
|May 1, 1991
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 simulation study of predictive ability measures in a survival model II: explained randomness and predictive accuracy.

Statistics in medicine·2012
Same author

Estimating the crude probability of death due to cancer and other causes using relative survival models.

Statistics in medicine·2010
Same author

How do multi-stage, multi-arm trials compare to the traditional two-arm parallel group design--a reanalysis of 4 trials.

Trials·2009
Same author

Prognostic factors for renal cell carcinoma.

Cancer treatment reviews·2008
Same author

An approach to estimating prognosis using fractional polynomials in metastatic renal carcinoma.

British journal of cancer·2006
Same author

Prediction of patient-specific risk of early preterm delivery using maternal history and sonographic measurement of cervical length: a population-based prospective study.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology·2006
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
Same journal

Optimal Weighted Tests for Replication Studies and the 'Two-Trials Rule' With Multiple Hypotheses.

Statistics in medicine·2026
Same journal

Identifiable Copula-Double-Cox Models: A Fully Parametric Framework for Dependent Right-Censored Survival Data.

Statistics in medicine·2026
Same journal

Moving From Individualized Risk-Based Prevention to Benefit-Based Prevention: Estimating Individualized Life-Years Gained From Prevention Services as a Basis for Eligibility.

Statistics in medicine·2026
See all related articles

This study introduces a straightforward statistical method for creating medical reference ranges that account for time-dependent factors like age. The approach uses polynomial curves and logarithmic transformations for accurate and efficient range construction.

Area of Science:

  • Biostatistics
  • Medical Statistics
  • Clinical Laboratory Science

Background:

  • Establishing accurate reference ranges is crucial in medicine.
  • Existing methods for time-dependent reference ranges are often complex or inefficient.
  • Age and other time-related variables necessitate specialized statistical approaches.

Purpose of the Study:

  • To present a simple, systematic, and efficient statistical method for constructing medical reference ranges that incorporate time-dependent factors.
  • To provide guidelines for applying statistical transformations and assessing the validity of constructed reference ranges.
  • To address the comparison of reference ranges between different patient groups.

Main Methods:

  • Utilizes low-order polynomial regression curves (linear, quadratic, cubic).

Related Experiment Videos

  • Includes guidelines for logarithmic transformation of analyzed variables.
  • Incorporates normality testing and assessment of reference range adequacy based on regression analysis.

    • Main Results:

    • The described method provides a systematic way to construct time-dependent reference ranges.
    • The approach is applicable using standard statistical software.
    • Demonstrates the method's utility through three detailed case examples, including group comparisons.

    Conclusions:

    • The proposed polynomial regression-based method offers an efficient and systematic approach to creating age- and time-dependent reference ranges.
    • This method enhances the accuracy and applicability of reference intervals in clinical practice.
    • Facilitates robust statistical comparisons between patient groups when constructing reference ranges.