Longitudinal mediation analysis with multilevel and latent growth models: a separable effects causal approach
Our approach allows us to give multilevel and latent growth models an appealing causal interpretation based on separable effects. The simulation study shows that model misspecification can heavily impact effect estimates, highlighting the importance of careful model choice.
Authors
- Chiara Di Maria (ORCID: https://orcid.org/0000-0002-4784-3748)
- Vanessa Didelez (ORCID: https://orcid.org/0000-0001-8587-7706)
Institutions
- Leibniz Institute for Prevention Research and Epidemiology - BIPS (DE)
- University of Palermo (IT)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1186/s12874-024-02358-4
- Citations
- 3
- Primary Topic
- Advanced Causal Inference Techniques
- Type
- article
- Field-Weighted Citation Impact
- 2.13