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Found 3 papers, 2 papers with code
Another look at inference after prediction
Our extensive theoretical and numerical analyses indicate that the Chen and Chen (CC) estimator offers a balance between robustness to ML model specification and statistical efficiency, making it the preferred choice for use in practice.
What is Fair? Defining Fairness in Machine Learning for Health
Ensuring that machine learning (ML) models are safe, effective, and equitable across all patient groups is essential for clinical decision-making and for preventing the reinforcement of existing health disparities.
Large-scale machine learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology
A GWAS of ML-based VCDR identified 299 independent genome-wide significant (GWS; $P\leq5\times10^{-8}$) hits in 156 loci.
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