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Updated: Apr 5, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
Published on: February 25, 2013
Introducing the fit-criteria assessment plot - A visualisation tool to assist class enumeration in group-based
Sven L Klijn1, Matty P Weijenberg2, Paul Lemmens3
11 Department of Methodology and Statistics, Maastricht University, Maastricht, the Netherlands.
This study introduces the fit-criteria assessment plot, a visualization tool to improve decision-making in group-based trajectory modeling. It enhances transparency and aids in selecting the optimal number of latent trajectories for health and clinical data analysis.
Area of Science:
- * Biostatistics
- * Health Data Science
- * Epidemiology
Background:
- * Group-based trajectory modelling (GBTM) identifies temporal patterns in data.
- * Current model selection, particularly class enumeration, lacks transparency and relies on imperfect statistical criteria.
- * Overlooking these issues can lead to inadequate model application in health sciences.
Purpose of the Study:
- * To introduce the 'fit-criteria assessment plot' as a novel visualization tool for GBTM.
- * To enhance the transparency and ease of the class enumeration process in GBTM.
- * To provide an R-code implementation for generating the plot with universal data input.
Main Methods:
- * Development of an R-code to process GBTM output.
- * Automated generation of graphical displays summarizing model fit indices.
- * Validation using real and simulated datasets to demonstrate utility.
Main Results:
- * The fit-criteria assessment plot offers a consolidated, single-page overview of key fit criteria.
- * It empowers users to make more informed decisions regarding model selection.
- * The tool facilitates, but does not automate, the model assessment process.
Conclusions:
- * The fit-criteria assessment plot is a valuable exploratory tool for GBTM.
- * It aids in the critical initial phase of determining the number of latent trajectories.
- * Improved interpretability and transparency can foster more appropriate use of GBTM in medical and epidemiological research.
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