Group-based trajectory modeling in clinical research.

Journal Article

Group-based trajectory models are increasingly being applied in clinical research to map the developmental course of symptoms and assess heterogeneity in response to clinical interventions. In this review, we provide a nontechnical overview of group-based trajectory and growth mixture modeling alongside a sampling of how these models have been applied in clinical research. We discuss the challenges associated with the application of both types of group-based models and propose a set of preliminary guidelines for applied researchers to follow when reporting model results. Future directions in group-based modeling applications are discussed, including the use of trajectory models to facilitate causal inference when random assignment to treatment condition is not possible.

Full Text

Duke Authors

Cited Authors

  • Nagin, DS; Odgers, CL

Published Date

  • 2010

Published In

Volume / Issue

  • 6 /

Start / End Page

  • 109 - 138

PubMed ID

  • 20192788

Electronic International Standard Serial Number (EISSN)

  • 1548-5951

Digital Object Identifier (DOI)

  • 10.1146/annurev.clinpsy.121208.131413

Language

  • eng

Conference Location

  • United States