Portal de Periódicos da CAPES

Group-Based Trajectory Modeling in Clinical Research

2010; Annual Reviews; Volume: 6; Issue: 1 Linguagem: Inglês

10.1146/annurev.clinpsy.121208.131413

1548-5951

Daniel S. Nagin, Candice L. Odgers,

Advanced Causal Inference Techniques

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.