Justin Grimmer, "Naïve regression requires weaker assumptions than factor models"


International Methods Colloquium on March 5, 2021.

Justin Grimmer (Stanford University) presented a talk entitled "Naïve regression requires weaker assumptions than factor models to adjust for multiple cause confounding."

The slides are available at this link.

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This material is based upon work supported by Wake Forest University and previously supported by Rice University and the National Science Foundation under Grant No. SES-1423825. The IMC is also sponsored by Springer Publishing.

 

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.