Causal simulation experiments: Lessons from bias amplification

Recent theoretical work in causal inference has explored an important class of variables which, when conditioned on, may further amplify existing unmeasured confounding bias (bias amplification). Despite this theoretical work, existing simulations of bias amplification in clinical settings have sugg...

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Detalles Bibliográficos
Autores principales: Stokes, Tyrel, Steele, Russell, Shrier, Ian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8721560/
https://www.ncbi.nlm.nih.gov/pubmed/34812681
http://dx.doi.org/10.1177/0962280221995963

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8721560/
https://www.ncbi.nlm.nih.gov/pubmed/34812681
http://dx.doi.org/10.1177/0962280221995963

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