Trajectory analyses in insurance medicine studies: Examples and key methodological aspects and pitfalls.

ABSTRACT:

Background

Trajectory analyses are being increasingly used in efforts to increase understanding about the heterogeneity in the development of different longitudinal outcomes such as sickness absence, use of medication, income, or other time varying outcomes. However, several methodological and interpretational challenges are related to using trajectory analyses. This methodological study aimed to compare results using two different types of software to identify trajectories and to discuss methodological aspects related to them and the interpretation of the results.

Methods

Group-based trajectory models (GBTM) and latent class growth models (LCGM) were fitted, using SAS and Mplus, respectively. The data for the examples were derived from a representative sample of Spanish wor

SUBMITTER: Serra L 

PROVIDER: S-EPMC8836370 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature