4 papers
Robust inference for risk heterogeneity under group imbalance
Mengqi Xu, Subha Maity, Joel Dubin
Population-level heterogeneity is ubiquitous in biomedical data, where differences across demographic or clinical subgroups can substantially alter risk patterns. For example, in i…
Diagnosis-based mortality prediction for intensive care unit patients via transfer learning
Mengqi Xu, Subha Maity, Joel Dubin
In the intensive care unit, the underlying causes of critical illness vary substantially across diagnoses, yet prediction models accounting for diagnostic heterogeneity have not be…
Transfer Learning under Group-Label Shift: A Semiparametric Exponential Tilting Approach
Manli Cheng, Subha Maity, Qinglong Tian +1
We propose a new framework for binary classification in transfer learning settings where both covariate and label distributions may shift between source and target domains. Unlike…
Estimation with missing not at random binary outcomes via exponential tilts
Subha Maity
We study the problem of missing not at random (MNAR) datasets with binary outcomes. We propose an exponential tilt based approach that bypasses any knowledge on 'nonresponse instru…