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The Implications of Using Lagged and Baseline Exposure Terms in Longitudinal Causal and Regression Models
There are now many published applications of causal (structural) models for estimating effects of time-varying exposures in the presence of confounding by earlier exposures and confounders affected by earlier exposures. Results from these models can be highly sensitive to inclusion of lagged and bas...
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| Publicat a: | Am J Epidemiol |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8045477/ https://ncbi.nlm.nih.gov/pubmed/30576419 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/aje/kwy273 |
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