Exploiting nonsystematic covariate monitoring to broaden the scope of evidence about the causal effects of adaptive treatment strategies

DOI10.1111/biom.13271zbMath1520.62252OpenAlexW3016408275WikidataQ91979651 ScholiaQ91979651MaRDI QIDQ6094217

Mark J. Van der Laan, Unnamed Author, Romain Neugebauer, Oleg Sofrygin, Unnamed Author, Zheng Zhu, Alyce S. Adams, Noemi Kreif

Publication date: 9 October 2023

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://eprints.whiterose.ac.uk/159869/1/biom.13271.pdf

zbMATH Keywords

inverse probability weightingtime-dependent confoundingelectronic health recordsdynamic treatment regimesjoint interventionsmonitoring regimesno direct effect assumption

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

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Cites Work

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• Nonparametric causal effects based on marginal structural models
• A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect