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Causal inference in survival analysis using longitudinal observational data: Sequential trials and marginal structural models

Longitudinal observational data on patients can be used to investigate causal effects of time-varying treatments on time-to-event outcomes. Several methods have been developed for estimating such effects by controlling for the time-dependent confounding that typically occurs. The most commonly used...

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Detalles Bibliográficos
Autores principales:	Keogh, Ruth H., Gran, Jon Michael, Seaman, Shaun R., Davies, Gwyneth, Vansteelandt, Stijn
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614580/ https://www.ncbi.nlm.nih.gov/pubmed/37086186 http://dx.doi.org/10.1002/sim.9718

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