68 citations · 85 across the 7 of their papers we have counts for
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cs.LG2022★ 4 cited
Confound-leakage: Confound Removal in Machine Learning Leads to Leakage
Sami Hamdan, Bradley C. Love, Georg G. von Polier +4
Machine learning (ML) approaches to data analysis are now widely adopted in many fields including epidemiology and medicine. To apply these approaches, confounds must first be remo…
stat.ME2022
Predictive Data Calibration for Linear Correlation Significance Testing
Kaustubh R. Patil, Simon B. Eickhoff, Robert Langner
Inferring linear relationships lies at the heart of many empirical investigations. A measure of linear dependence should correctly evaluate the strength of the relationship as well…