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PC program for estimating polynomial growth, velocity and acceleration curves when subjects may have missing data

E D Schneiderman1, S M Willis, C J Kowalski

  • 1Department of Oral and Maxillofacial Surgery, Baylor College of Dentistry, Dallas, TX 75246.

International Journal of Bio-Medical Computing
|November 1, 1993
PubMed
Summary

This study presents a PC program for analyzing polynomial growth curves from longitudinal data, accommodating missing measurements. The software estimates growth, velocity, and acceleration, providing coefficients for further statistical analysis.

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Area of Science:

  • Biostatistics
  • Computational Biology
  • Growth Modeling

Background:

  • Longitudinal data analysis is crucial for understanding growth patterns.
  • Estimating polynomial growth, velocity, and acceleration requires specialized software.
  • Handling missing data in longitudinal studies presents analytical challenges.

Purpose of the Study:

  • To introduce a user-friendly PC program for polynomial growth curve analysis.
  • To provide a tool for estimating velocity and acceleration from longitudinal data.
  • To offer a solution for analyzing incomplete longitudinal datasets.

Main Methods:

  • Development of a menu-driven, stand-alone PC program using GAUSS386i.
  • Implementation of algorithms to estimate polynomial growth, velocity, and acceleration.

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  • Inclusion of methods to handle missing data in longitudinal sequences with common measurement times.

    • Main Results:

    • The program successfully estimates polynomial growth, velocity, and acceleration curves.
    • It determines adequate polynomial degrees for individual growth profiles.
    • Calculated regression coefficients can be saved in ASCII files for import into statistical packages.

    Conclusions:

    • The developed program offers a practical tool for researchers analyzing longitudinal growth data.
    • It effectively accommodates missing data, enhancing analytical flexibility.
    • The software facilitates further statistical analysis by exporting regression coefficients.