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Updated: Mar 2, 2026
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Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
Published on: July 3, 2020
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Development of reference data for increments in variables related to growth
Alex F Roche1, Shumei Guo1,2
1Department of Community Health, Wright State University, Yellow Springs, Ohio 45387-1695.
Summary
Advancements in reference data development and application for growth increments are highlighted. Improved methods for infant recumbent length analysis provide valuable tools for individual and group assessments.
Area of Science:
- Pediatrics
- Biostatistics
- Growth and Development Studies
Background:
- Accurate reference data for growth increments is crucial for monitoring child development.
- Longitudinal studies provide valuable datasets for analyzing growth patterns.
Purpose of the Study:
- To review progress in developing and applying reference data for growth increments.
- To showcase advancements using the Fels Longitudinal Study data for infant length increments.
Main Methods:
- Analysis of recumbent length increments during infancy.
- Application of statistical methods to longitudinal growth data.
- Development of reference data for individual and group use.
Main Results:
- Significant improvements in methods for developing incremental reference data over recent decades.
- Successful application of developed reference data to infant recumbent length from the Fels Longitudinal Study.
- Demonstration of the utility of reference data for both individual and group analyses.
Conclusions:
- Methods for developing incremental reference data have substantially improved.
- Further research is needed to enhance modeling, fitting procedures, and application simplicity.
- Continued refinement of these methods will improve growth assessment accuracy.
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