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Updated: Mar 1, 2026

Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model
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Improvement in the Roche-Wainer-Thissen stature prediction model: A comparative study.

H J Khamis1, Shumei Guo1

  • 1Department of Mathematics and Statistics and Department of Community Health, School of Medicine, Wright State University, Dayton, Ohio 45435.

American Journal of Human Biology : the Official Journal of the Human Biology Council
|May 27, 2017
PubMed
Summary

A new method, multivariate cubic spline smoothing (MCS²), improves adult stature prediction for children. This enhanced approach simplifies the process and offers greater accuracy than the original Roche-Wainer-Thissen (RWT) model.

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Area of Science:

  • Pediatrics
  • Anthropometry
  • Biostatistics

Background:

  • The Roche-Wainer-Thissen (RWT) model, established in 1975, is a standard for predicting adult stature.
  • While generally effective, the RWT model's procedural steps present opportunities for enhancement.
  • Accurate stature prediction is crucial for monitoring child growth and development.

Purpose of the Study:

  • To investigate and compare seven variations of the RWT prediction model.
  • To identify an improved method for predicting adult stature in Caucasian American children.
  • To enhance the accuracy and reliability of stature prediction models.

Main Methods:

  • Evaluation of seven modified versions of the RWT prediction model.
  • Comparative analysis based on prediction accuracy and reliability.
  • Implementation of multivariate cubic spline smoothing (MCS²) as a novel approach.

Main Results:

  • The multivariate cubic spline smoothing (MCS²) method demonstrated superior performance.
  • MCS² offers a simplified procedure compared to the existing multivariate semi-metric smoothing (MS²) method.
  • The recommended MCS² method resulted in smaller maximum deviations between predicted and actual adult statures.

Conclusions:

  • The multivariate cubic spline smoothing (MCS²) method is recommended for predicting adult stature in Caucasian American children.
  • This new method enhances prediction accuracy and simplifies the prediction process.
  • The findings contribute to more reliable pediatric growth assessment tools.