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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Bibliographic Details
Published in:Stat Med
Main Authors: Keogh, Ruth H., Gran, Jon Michael, Seaman, Shaun R., Davies, Gwyneth, Vansteelandt, Stijn
Format: Artigo
Language:Inglês
Published: John Wiley & Sons, Inc. 2023
Subjects:
Research Articles
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC7614580/
https://ncbi.nlm.nih.gov/pubmed/37086186
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.9718
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