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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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Detalles Bibliográficos
Publicado en:Am J Epidemiol
Autores principales: Mansournia, Mohammad Ali, Naimi, Ashley I, Greenland, Sander
Formato: Artigo
Lenguaje:Inglês
Publicado: Oxford University Press 2019
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Acceso en línea: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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