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Related Experiment Videos

Estimation of age-specific reference intervals for skewed data.

M A A Moussa1

  • 1Department of Community Medicine and Behavioral Sciences, Faculty of Medicine, Kuwait University, Kuwait. amoussa@hsc.kuniv.edu.kw

Methods of Information in Medicine
|June 14, 2002
PubMed
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Cole's LMS and Wright and Royston's Exponential-Normal (EN) methods provide comparable centile curves for estimating body mass index reference intervals in children. Both methods are user-friendly and generate similar results for pediatric BMI assessment.

Area of Science:

  • Pediatric endocrinology
  • Biostatistics
  • Growth assessment

Background:

  • Accurate reference intervals are crucial for assessing child growth.
  • Body Mass Index (BMI) is a key indicator of weight status in children.
  • Statistical methods are needed to generate reliable BMI centile curves.

Purpose of the Study:

  • To compare Cole's LMS method and Wright and Royston's Exponential-Normal (EN) method.
  • To evaluate their effectiveness in estimating reference intervals for pediatric BMI.
  • To assess their ability to generate smooth centile curves for children aged 6-13 years.

Main Methods:

  • Cole's LMS method models L, M, and S parameters using smoothed maximum likelihood estimates.
  • Wright and Royston's EN method estimates mean, standard deviation, and skewness using multiple regression.

Related Experiment Videos

  • Both methods were applied to BMI data from children aged 6 to 13 years.

    • Main Results:

    • Centile curves generated by both LMS and EN methods showed close agreement across most age groups.
    • Bootstrap analysis of loss function scores indicated no systematic difference between the two methods.
    • The 2.5th and 97.5th quantiles of the difference interval included zero.

    Conclusions:

    • Both Cole's LMS and Wright and Royston's EN methods are effective for estimating pediatric BMI reference intervals.
    • The methods are simple to use and produce comparable centile curves.
    • These findings support the use of either method for clinical and research applications in child growth assessment.