Group-Based Trajectory Modeling: An Overview | Zendy

Daniel S. Nagin | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Group-Based Trajectory Modeling: An Overview

Author(s) -

Daniel S. Nagin

Publication year - 2014

Publication title -

annals of nutrition and metabolism

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.926

H-Index - 81

eISSN - 1421-9697

pISSN - 0250-6807

DOI - 10.1159/000360229

Subject(s) - computer science , statistical model , presentation (obstetrics) , group (periodic table) , range (aeronautics) , data science , statistical analysis , outcome (game theory) , data exploration , artificial intelligence , information retrieval , visualization , statistics , mathematics , engineering , medicine , chemistry , organic chemistry , mathematical economics , radiology , aerospace engineering

This article provides an overview of a group-based statistical methodology for analyzing developmental trajectories - the evolution of an outcome over age or time. Across all application domains, this group-based statistical method lends itself to the presentation of findings in the form of easily understood graphical and tabular data summaries. In so doing, the method provides statistical researchers with a tool for figuratively painting a statistical portrait of the predictors and consequences of distinct trajectories of development. Data summaries of this form have the great advantage of being accessible to nontechnical audiences and quickly comprehensible to audiences that are technically sophisticated. Examples of the application of the method are provided. A detailed account of the statistical underpinnings of the method and a full range of applications are provided by the author in a previous study.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research