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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2023
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| Materias: | |
| 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 |