Marginal Structural Models: The Way Forward for Life-course Epidemiology?
De Stavola, Bianca and Daniel, Rhian (2012) Marginal Structural Models: The Way Forward for Life-course Epidemiology? Epidemiology, 23 (2). pp. 233-237. ISSN 1044-3983/12/2302-0233
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Abstract
The study of life-course socioeconomic disadvantage and health raises several important conceptual and methodologic problems. Nandi and coauthors1 attempt to address some of these in this issue of EPIDEMIOLOGY. In this commentary, we review them and discuss whether their proposed solution is sufficiently broad to be invoked more generally in life-course research, and we highlight the caution required when doing so.
| Item Type: | Article |
|---|---|
| Subjects: | 5. Quantitative Data Handling and Data Analysis > 5.10 Latent Variable Models > 5.10.8 Structural equation models 5. Quantitative Data Handling and Data Analysis > 5.17 Quantitative Approaches (other) |
| Depositing User: | PATH User |
| Date Deposited: | 03 Feb 2014 11:59 |
| Last Modified: | 14 Jul 2021 13:58 |
| URI: | https://eprints.ncrm.ac.uk/id/eprint/3277 |
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