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Modelling neuromotor ratings with floor-effects.

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  • 1Department of Biostatistics, Institute for Social and Preventive Medicine, University of Zürich, Sumatrastrasse 30, CH-8006 Zürich, Switzerland.

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Summary

This study introduces a new method to create age- and gender-specific reference curves for associated movements (AMs) in children. This approach improves the analysis of motor dysfunction by handling data limitations and enabling individualized assessments.

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Area of Science:

  • Pediatrics
  • Developmental Neuroscience
  • Biostatistics

Background:

  • Associated movements (AMs) are crucial for diagnosing motor dysfunction in children.
  • Existing methods struggle with ordinal data, floor/ceiling effects, and age/gender variations.
  • A robust methodology is needed for accurate AMs assessment.

Purpose of the Study:

  • To develop age- and gender-dependent reference curves for associated movements (AMs) in typically developing children.
  • To address data limitations including ordinal scales, floor/ceiling effects, and discreteness.
  • To create a methodology enabling individualized, standardized AMs assessments.

Main Methods:

  • Combined ordinal ratings of AM duration and extent into a quasi-continuous 'intensity' measure.
  • Employed censored regression with a truncated normal distribution to handle data limitations (left-, right-, interval-censored).
  • Utilized Wei and Tanner's data augmentation algorithm with linear mixed-effects modeling.

Main Results:

  • Successfully generated age- and gender-dependent reference curves for AM intensity.
  • The methodology effectively addressed issues of discreteness, floor-effects, and ceiling-effects.
  • Enabled calculation of individual age- and gender-standardized AM values.

Conclusions:

  • The proposed methodology provides a more accurate and nuanced assessment of associated movements in children.
  • This approach overcomes limitations of previous methods for analyzing ordinal and censored data.
  • Facilitates further research into motor development and dysfunction by allowing detailed individual analysis.