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Using generalized linear models to implement g-estimation for survival data with time-varying confounding
Using data from observational studies to estimate the causal effect of a time-varying exposure, repeatedly measured over time, on an outcome of interest requires careful adjustment for confounding. Standard regression adjustment for observed time-varying confounders is unsuitable, as it can eliminat...
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| Publicado no: | Stat Med |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7612171/ https://ncbi.nlm.nih.gov/pubmed/33942919 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.8997 |
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