1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.AP2026
Data (in)equities in data science: Dissecting systemic and systematic biases in pulse oximetry
Lillian Rountree, Harsh Parikh, Bhramar Mukherjee
Data equity is an emerging framework for responsible data science. However, its core concepts, including fairness, representativeness, and information bias, remain largely abstract…
stat.AP2025★ 1 cited
Towards Enhancing Data Equity in Public Health Data Science
Yiran Wang, Alicia E. Boyd, Lillian Rountree +7
Data-driven decisions shape public health policies and practice, yet persistent disparities in data representation skew insights and undermine interventions. To address this, we ad…