Clustering longitudinal data: comparison of model-based and distance-based approaches using simulated and real-world data in psychiatric research.

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Title: Clustering longitudinal data: comparison of model-based and distance-based approaches using simulated and real-world data in psychiatric research.
Authors: Julià L; Institut D'Investigations Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain.; Department of Basic Clinical Practice, University of Barcelona, Barcelona, E-08036, Spain., Sánchez-Torres AM; Department of Health Sciences, Universidad Pública de Navarra, Pamplona, Spain.; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain., Merchan J; Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, Madrid, Spain.; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain., Amoretti S; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.; Psychiatry, Mental Health and Addictions Group, Vall d'Hebron Research Institute (VHIR), Instituto de Investigación Sanitaria Acreditado Instituto de Investigación - Hospital Universitario Vall d'Hebron (IR-HUVH), Barcelona, Spain., Carrasco JL; Department of Basic Clinical Practice, University of Barcelona, Barcelona, E-08036, Spain. jlcarrasco@ub.edu., Mas S; Institut D'Investigations Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain. sergimash@ub.edu.; Department of Basic Clinical Practice, University of Barcelona, Barcelona, E-08036, Spain. sergimash@ub.edu.; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain. sergimash@ub.edu.
Source: BMC medical research methodology [BMC Med Res Methodol] 2026 May 23; Vol. 26 (1). Date of Electronic Publication: 2026 May 23.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1471-2288
DOI:10.1186/s12874-026-02882-5