1 citations · 2 across the 4 of their papers we have counts for
4 papers
Diagnosing the role of observable distribution shift in scientific replications
Ying Jin, Kevin Guo, Dominik Rothenhäusler
Many researchers have identified distribution shift as a likely contributor to the reproducibility crisis in behavioral and biomedical sciences. The idea is that if treatment effec…
Modular Regression: Improving Linear Models by Incorporating Auxiliary Data
Ying Jin, Dominik Rothenhäusler
This paper develops a new framework, called modular regression, to utilize auxiliary information -- such as variables other than the original features or additional data sets -- in…
On the statistical role of inexact matching in observational studies
Kevin Guo, Dominik Rothenhäusler
In observational causal inference, exact covariate matching plays two statistical roles: (i) it effectively controls for bias due to measured confounding; (ii) it justifies assumpt…
Tailored inference for finite populations: conditional validity and transfer across distributions
Ying Jin, Dominik Rothenhäusler
Parameters of sub-populations can be more relevant than super-population ones. For example, a healthcare provider may be interested in the effect of a treatment plan for a specific…