Group-Based Trajectory Modeling in Clinical Research
Carnegie Mellon University · University of California, Irvine
Abstract
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…
Citation impact
- FWCI
- 35.61
- Percentile
- 100%
- References
- 97
Authors
2Topics & keywords
- Trajectory
- Inference
- Set (abstract data type)
- Psychological intervention
- Computer science
- Causal inference
- Artificial intelligence
- Group (periodic table)