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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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Detaylı Bibliyografya
Yayımlandı:Stat Med
Asıl Yazarlar: Seaman, Shaun R., Keogh, Ruth H., Dukes, Oliver, Vansteelandt, Stijn
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2021
Konular:
Online Erişim: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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