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stat.AP2026
Data (in)equities in data science: Dissecting systemic and systematic biases in pulse oximetry
Lillian Rountree, Harsh Parikh, Bhramar Mukherjee
The paper shows how statisticians can turn the abstract ideas of data equity into concrete, testable methods, using racial bias in pulse oximeter measurements as a case study to tr…
stat.AP2026
Prediction-based Inference in Electronic Health Record (EHR)-linked Biobanks with Clinically Informative Outcomes
Xingran Chen, Cheng-Han Yang, Zhenke Wu +1
Electronic health record (EHR)-linked biobank data hold tremendous promise for large-scale discoveries via genome-wide association study (GWAS) on diverse phenotypic traits and bio…