Causal Inference in Presence of Intra‐Patient Correlation due to Repeated Measurements of Exposure and Outcome in Longitudinal Settings
When analyzing longitudinal data in the presence of time-dependent confounding using g-methods, intra-patient correlation due to repeated measurements of exposure and outcome should be accounted for in the causal reasoning.
Authors
- Sandra Vukusic (ORCID: https://orcid.org/0000-0001-7337-7122)
- Fabien Rollot (ORCID: https://orcid.org/0000-0002-5752-2331)
- Romain Casey (ORCID: https://orcid.org/0000-0002-5918-9261)
- Antoine Gavoille (ORCID: https://orcid.org/0000-0002-9118-0849)
- Fabien Subtil (ORCID: https://orcid.org/0000-0003-1955-2019)
- Muriel Rabilloud (ORCID: https://orcid.org/0000-0003-1324-0356)
Institutions
- Université Claude Bernard Lyon 1 (FR)
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Centre de Recherche en Neurosciences de Lyon (FR)
- Hospices Civils de Lyon (FR)
- Observatoire Français de la Sclérose en Plaques (FR)
- Laboratoire de Biométrie et Biologie Evolutive (FR)
Publication Details
- Journal
- Statistics in Medicine
- Published
- 2025-03-05
- DOI
- https://doi.org/10.1002/sim.70037
- Primary Topic
- Advanced Causal Inference Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00