The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
Group-Based Trajectory Modeling in Clinical Research
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 when random assignment to treatment condition is not possible.
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Cited by
Group-Based Trajectory Modeling: An Overview
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Association of sleep duration in middle and old age with incidence of dementia
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Metadata
- Authors
- Nagin, D. S., & Odgers, C. L.
- Venue
- Annual Review of Clinical Psychology
- Publisher
- Annual Reviews
- Published
- 2010-03-01
- Volume
- 6
- Issue
- 1
- Pages
- 109-138
- ISSN
- 1548-5943 (ISSN-L)
- 1548-5951
- OpenAlex
- W2108451834
- Cited by
- 2,708
- References
- 88
- FWCI
- 4.31
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
