What Is Fair? Defining Fairness in Machine Learning for Health

Ähnliche Einträge

• What is Fair? Defining Fairness in Machine Learning for Health
  von: Gao, Jianhui, et al.
  Veröffentlicht: (2024)
• Another look at statistical inference with machine learning-imputed data
  von: Gronsbell, Jessica, et al.
  Veröffentlicht: (2024)
• Exact Inference for Random Effects Meta-Analyses with Small, Sparse Data
  von: Gronsbell, Jessica, et al.
  Veröffentlicht: (2023)
• What's the Weight? Estimating Controlled Outcome Differences in Complex Surveys for Health Disparities Research
  von: Stephen Salerno, et al.
  Veröffentlicht: (2025)
• On the Interplay Between Prior Weight and Variance of the Robustification Component in Robust Mixture Prior Bayesian Dynamic Borrowing Approach
  von: Marco Ratta, et al.
  Veröffentlicht: (2026)