{"title":"Recent Advances in Group-Based Trajectory Modeling for Clinical Research","authors":"Daniel S. Nagin, Bobby L. Jones, Jonathan Elmer","doi":"10.1146/annurev-clinpsy-081122-012416","DOIUrl":null,"url":null,"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.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.","PeriodicalId":50755,"journal":{"name":"Annual Review of Clinical Psychology","volume":null,"pages":null},"PeriodicalIF":17.8000,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Review of Clinical Psychology","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1146/annurev-clinpsy-081122-012416","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY","Score":null,"Total":0}
引用次数: 0
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.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.
期刊介绍：
The Annual Review of Clinical Psychology is a publication that has been available since 2005. It offers comprehensive reviews on significant developments in the field of clinical psychology and psychiatry. The journal covers various aspects including research, theory, and the application of psychological principles to address recognized disorders such as schizophrenia, mood, anxiety, childhood, substance use, cognitive, and personality disorders. Additionally, the articles also touch upon broader issues that cut across the field, such as diagnosis, treatment, social policy, and cross-cultural and legal issues.
Recently, the current volume of this journal has transitioned from a gated access model to an open access format through the Annual Reviews' Subscribe to Open program. All articles published in this volume are now available under a Creative Commons Attribution License (CC BY), allowing for widespread distribution and use. The journal is also abstracted and indexed in various databases including Scopus, Science Citation Index Expanded, MEDLINE, EMBASE, CINAHL, PsycINFO, and Academic Search, among others.
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