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Precise, High-throughput Analysis of Bacterial Growth

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Nonlinear growth curves in developmental research.

Kevin J Grimm¹, Nilam Ram, Fumiaki Hamagami

¹Department of Psychology, University of California, Davis, CA 95616, USA. kjgrimm@ucdavis.edu

Child Development

|August 10, 2011

Summary

This study explores nonlinear growth models for understanding developmental change. These models offer deeper insights into complex developmental processes by estimating key growth characteristics.

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Area of Science:

Developmental Psychology
Biostatistics

Background:

Developmentalists frequently study change processes using growth models.
Nonlinear growth curves are crucial for estimating key developmental characteristics like growth rates and final levels.

Purpose of the Study:

To describe and compare various linear and nonlinear growth models.
To apply these models to longitudinal height data from childhood to adulthood.

Main Methods:

Fitting a range of growth models, from linear to complex nonlinear forms.
Utilizing repeated measures of height data from the Berkeley Growth and Guidance Studies.

Main Results:

Demonstrated the utility of nonlinear models in capturing complex developmental trajectories.
Successfully applied various growth models to longitudinal height data.

Conclusions:

Nonlinear growth models provide valuable insights into developmental change processes.
These models are effective for analyzing longitudinal data across different life stages.