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Invited Paper Session

Inference and Variable Importance for Black-Box Models in Biomedical Studies

Mon, Aug 7, 8:30 AM

Ali ShojaieChair

Section on Statistical Learning and Data Science

4 Presentations

A General Inference Framework for High-Dimensional Nonparametric Models

8:35 AM - 9:00 AM

Nonparametric variable importance for time-to-event outcomes with application to prediction of HIV seroconversion

9:00 AM - 9:25 AM

Charles Wolock (University of Washington, Department of Biostatistics)

Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions

9:25 AM - 9:50 AM

Nonparametric Inference on Variable Importance Estimands at the Boundary of the Parameter Space

9:50 AM - 10:15 AM

Aaron Hudson (Fred Hutchinson Cancer Center)

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