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Measures of discrimination for latent group-based trajectory models
Nilesh H Shah1, Alison E Hipwell2, Stephanie D Stepp2
1Division of Gastroenterology, Hepatology, and Nutrition, University of Pittsburgh, Pittsburgh, PA, USA.
Journal of Applied Statistics
|December 9, 2014
Summary
This study introduces new methods to evaluate how well individuals are assigned to risk groups using latent group-based trajectory modeling. These tools improve the reliability of patient classification in clinical research for better care decisions.
Area of Science:
- Clinical Research
- Biostatistics
- Developmental Psychology
Background:
- Patient classification into homogeneous risk groups aids clinical decision-making.
- Latent group-based trajectory modeling estimates individual probabilities of group membership.
- Current methods lack robust measures for assessing discrimination of individual group assignments.
Purpose of the Study:
- To propose novel discrimination measures for latent group-based trajectory modeling.
- To provide confidence intervals for individual group assignment probabilities.
- To evaluate the proposed measures using longitudinal data on conduct disorders in adolescent girls.
Main Methods:
- Development of a discrimination index.
- Proposal of a modified entropy measure for discrimination.
- Application of these measures to assess group assignments in a cohort of young adolescent girls with conduct disorders.
Main Results:
- The proposed discrimination index and modified entropy measure were successfully applied.
- The measures provided a way to quantify the confidence in an individual's group assignment.
- Assessed the discrimination of longitudinal patterns of conduct disorders.
Conclusions:
- The developed measures enhance the interpretability and reliability of latent group-based trajectory modeling in clinical research.
- These tools can aid in making more informed patient care decisions.
- The study provides a valuable addition to the methodology for analyzing complex longitudinal data.
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