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Ismaïla Baldé

Colorado School of Public Health

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SEP 10, 2026 · JOURNAL ARTICLE

Ultra-high dimensional confounder selection algorithm comparison, with application to radiomics data

Journal of Applied Statistics

This is a methodological comparison study using simulation and observational radiomics data to evaluate machine learning algorithms for confounder selection; it does not test a clinical hypothesis or report a patient outcome.

Hypothesis-GeneratingRadiomics and Machine Learning in Medical Imaging Ai in Cancer Detection Ismaïla Baldé

Study details

DesignAlgorithm comparison study using simulation…

InterventionSIS+GOAL, SIS+OAL, and causal ball screenin…

ComparatorOutcome-adaptive lasso (OAL), generalized o…

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