Bias amplification in the g-computation algorithm for time-varying treatments: a case study of industry payments and prescription of opioid products

BACKGROUND: It is often challenging to determine which variables need to be included in the g-computation algorithm under the time-varying setting. Conditioning on instrumental variables (IVs) is known to introduce greater bias when there is unmeasured confounding in the point-treatment settings, an...

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Detalles Bibliográficos
Autores principales: Inoue, Kosuke, Goto, Atsushi, Kondo, Naoki, Shinozaki, Tomohiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9036763/
https://www.ncbi.nlm.nih.gov/pubmed/35468735
http://dx.doi.org/10.1186/s12874-022-01563-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9036763/
https://www.ncbi.nlm.nih.gov/pubmed/35468735
http://dx.doi.org/10.1186/s12874-022-01563-3

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