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

Smoothing reference centile curves: the LMS method and penalized likelihood.

T J Cole1, P J Green

  • 1MRC Dunn Nutrition Unit, Cambridge, U.K.

Statistics in Medicine
|July 1, 1992
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

Audit of warfarin reversal using a new Octaplex reduced dose protocol.

Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis·2014
Same author

The effects of caffeine on blood pressure and heart rate: A review.

Annals of behavioral medicine : a publication of the Society of Behavioral Medicine·2013
Same author

Behavioral plasticity in honey bees is associated with differences in brain microRNA transcriptome.

Genes, brain, and behavior·2012
Same author

Sex and ethnic differences in the waist circumference of 5-year-old children: findings from the Millennium Cohort Study.

International journal of pediatric obesity : IJPO : an official journal of the International Association for the Study of Obesity·2010
Same author

Influence of secular trends and sample size on reference equations for lung function tests.

The European respiratory journal·2010
Same author

Annex: The Keneba pregnancy supplementation study.

Bulletin of the World Health Organization·2010

Reference centile curves, using the LMS method, visualize how measurements change with age. This approach effectively models growth data, aiding in the interpretation of body measurements in children and adolescents.

Area of Science:

  • Biostatistics
  • Growth Monitoring
  • Pediatric Research

Background:

  • Reference centile curves are essential for understanding biological variation.
  • Existing methods may not adequately capture complex distributional changes.
  • The LMS method provides a robust framework for summarizing evolving distributions.

Purpose of the Study:

  • To present and illustrate the LMS method for constructing reference centile curves.
  • To demonstrate the application of penalized likelihood for fitting LMS curves.
  • To showcase the method's utility with real-world growth data.

Main Methods:

  • The LMS method models distributions using median, coefficient of variation, and skewness (Box-Cox power).
  • Cubic splines and penalized likelihood are employed for non-linear regression fitting.

Related Experiment Videos

  • Smoothing is controlled via smoothing parameters or equivalent degrees of freedom.

    • Main Results:

    • The LMS method successfully fitted centile curves to diverse datasets.
    • Smoothing parameters effectively managed the extent of curve smoothing.
    • The method is applicable to anthropometric measurements like skinfold thickness and body weight.

    Conclusions:

    • The LMS method offers a statistically sound approach to generating reference centile curves.
    • Penalized likelihood provides a flexible tool for fitting these curves.
    • This method is valuable for analyzing growth and development data in pediatric populations.