Quantifying the impact of unmeasured confounding in observational studies with the E value

The E value method deals with unmeasured confounding, a key source of bias in observational studies. The E value method is described and its use is shown in a worked example of a meta-analysis examining the association between the use of antidepressants in pregnancy and the risk of miscarriage.

Detalles Bibliográficos
Autores principales: Gaster, Tobias, Eggertsen, Christine Marie, Støvring, Henrik, Ehrenstein, Vera, Petersen, Irene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163534/
https://www.ncbi.nlm.nih.gov/pubmed/37159620
http://dx.doi.org/10.1136/bmjmed-2022-000366

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163534/
https://www.ncbi.nlm.nih.gov/pubmed/37159620
http://dx.doi.org/10.1136/bmjmed-2022-000366

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