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On Causal Inferences for Personalized Medicine: How Hidden Causal Assumptions Led to Erroneous Causal Claims About the D-Value

Personalized medicine asks if a new treatment will help a particular patient, rather than if it improves the average response in a population. Without a causal model to distinguish these questions, interpretational mistakes arise. These mistakes are seen in an article by Demidenko [2016] that recomm...

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Bibliografske podrobnosti
izdano v:Am Stat
Main Authors: Greenland, Sander, Fay, Michael P., Brittain, Erica H., Shih, Joanna H., Follmann, Dean A., Gabriel, Erin E., Robins, James M.
Format: Artigo
Jezik:Inglês
Izdano: 2019
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC7821975/
https://ncbi.nlm.nih.gov/pubmed/33487634
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/00031305.2019.1575771
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