<p>Trajectory Modelling Techniques Useful to Epidemiological Research: A Comparative Narrative Review of Approaches</p>
Université du Québec en Abitibi-Témiscamingue · Centre Hospitalier de l’Université de Montréal · +4 more institutions
Abstract
Trajectory modelling techniques have been developed to determine subgroups within a given population and are increasingly used to better understand intra- and inter-individual variability in health outcome patterns over time. The objectives of this narrative review are to explore various trajectory modelling approaches useful to epidemiological research and give an overview of their applications and differences. Guidance for reporting on the results of trajectory modelling is also covered. Trajectory modelling techniques reviewed include latent class modelling approaches, ie, growth mixture modelling (GMM), group-based trajectory modelling (GBTM), latent class analysis (LCA), and latent transition analysis…
Citation impact
- FWCI
- 18.29
- Percentile
- 100%
- References
- 120
Authors
8- HLHermine Lore Nguena Nguefack
Université du Québec en Abitibi-Témiscamingue
- MGM. Gabrielle Pagé
Centre Hospitalier de l’Université de Montréal, Université de Montréal
- JKJoel Katz
York University
- MCManon Choinière
Centre Hospitalier de l’Université de Montréal, Université de Montréal
- AVAlain Vanasse
Université de Sherbrooke, Centre Hospitalier Universitaire de Sherbrooke
Topics & keywords
- Trajectory
- Latent class model
- Terminology
- Narrative review
- Class (philosophy)
- Consistency (knowledge bases)
- Computer science
- Latent variable
- Good health and well-being