- Published
- 2024-02-21
- Venue
- Annual Review of Clinical Psychology, vol. 20, no. 1, pp. 285-305
- Cited by
- 274
- Open access
- Yes, hybrid
- DOI
- 10.1146/annurev-clinpsy-081122-012416
- PubMed
- 38382118
Abstract
Group-based trajectory modeling (GBTM) identifies groups of individuals following similar trajectories of one or more repeated measures. The categorical nature of GBTM is particularly well suited to clinical psychology and medicine, where patients are often classified into discrete diagnostic categories. This review highlights recent advances in GBTM and key capabilities that remain underappreciated in clinical research. These include accounting for nonrandom subject attrition, joint trajectory and multitrajectory modeling, the addition of the beta distribution to modeling options, associating trajectories with future outcomes, and estimating the probability of future outcomes. Also discussed is an approach to selecting the number of trajectory groups.
Cite this paper
Formatted from the source metadata, not typed by hand. For a whole reference list, use the or ask your assistant through Find Research.