Recent Advances in Group-Based Trajectory Modeling for Clinical Research

Annu Rev Clin Psychol. 2024 Feb 21. doi: 10.1146/annurev-clinpsy-081122-012416. Online ahead of print.ABSTRACTGroup-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. Expected final online publication date for the Annual Review of Clinical Psychology, Volume 20 is May 2024. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.PMID:38382118 | DOI:10.1146/annurev-clinpsy-081122-012416

Source: Annual Review of Clinical Psychology - February 21, 2024 Category: Psychiatry & Psychology Authors: Daniel S Nagin Bobby L Jones Jonathan Elmer Source Type: research