1 citations · 2 across the 4 of their papers we have counts for
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stat.ME2022★ 1 cited
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…
stat.ME2022
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…
stat.ME2021★ 1 cited
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…