Sensitivity Analysis Without Assumptions

Unmeasured confounding may undermine the validity of causal inference with observational studies. Sensitivity analysis provides an attractive way to partially circumvent this issue by assessing the potential influence of unmeasured confounding on causal conclusions. However, previous sensitivity ana...

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Detalles Bibliográficos
Autores principales: Ding, Peng, VanderWeele, Tyler J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2016
Materias:
Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4820664/
https://www.ncbi.nlm.nih.gov/pubmed/26841057
http://dx.doi.org/10.1097/EDE.0000000000000457

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4820664/
https://www.ncbi.nlm.nih.gov/pubmed/26841057
http://dx.doi.org/10.1097/EDE.0000000000000457

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