Genetic Instrumental Variable (GIV) regression methods can improve causal models in non-experimental studies of health

In a joint HPCC-IDIES seminar, Thomas DiPrete of Columbia University illustrated how Genetic Instrumental Variable (GIV) regression methods can improve causal models in non-experimental studies of health.

This seminar took place on Wednesday, March 28, 2018.

The background paper can be found at: https://www.biorxiv.org/content/biorxiv/early/2017/06/09/134197.full.pdf