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

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Publication:5128825
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DOI10.1111/biom.13158zbMath1451.62140OpenAlexW2975884613WikidataQ90341625 ScholiaQ90341625MaRDI QIDQ5128825

Stijn Vansteelandt, Oliver Dukes, Shaun R. Seaman, Ruth H. Keogh

Publication date: 26 October 2020

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.13158


zbMATH Keywords

survival datamarginal structural modelaccelerated failure time modelAalen's additive modelG-estimation


Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05)


Related Items (2)

Structural Cumulative Survival Models for Estimation of Treatment Effects Accounting for Treatment Switching in Randomized Experiments ⋮ Simulating longitudinal data from marginal structural models using the additive hazard model




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