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Adjusting for time‐varying confounders in survival analysis using structural nested cumulative survival time models

Accounting for time‐varying confounding when assessing the causal effects of time‐varying exposures on survival time is challenging. Standard survival methods that incorporate time‐varying confounders as covariates generally yield biased effect estimates. Estimators using weighting by inverse probab...

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Détails bibliographiques
Publié dans:Biometrics
Auteurs principaux: Seaman, Shaun, Dukes, Oliver, Keogh, Ruth, Vansteelandt, Stijn
Format: Artigo
Langue:Inglês
Publié: John Wiley and Sons Inc. 2019
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7317577/
https://ncbi.nlm.nih.gov/pubmed/31562652
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.13158
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