Analysis of Longitudinal Studies With Repeated Outcome Measures: Adjusting for Time-Dependent Confounding Using Conventional Methods

Estimation of causal effects of time-varying exposures using longitudinal data is a common problem in epidemiology. When there are time-varying confounders, which may include past outcomes, affected by prior exposure, standard regression methods can lead to bias. Methods such as inverse probability...

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Detalles Bibliográficos
Autores principales: Keogh, Ruth H, Daniel, Rhian M, VanderWeele, Tyler J, Vansteelandt, Stijn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Practice of Epidemiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5928464/
https://www.ncbi.nlm.nih.gov/pubmed/29020128
http://dx.doi.org/10.1093/aje/kwx311

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5928464/
https://www.ncbi.nlm.nih.gov/pubmed/29020128
http://dx.doi.org/10.1093/aje/kwx311

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