A machine learning-based approach for estimating and testing associations with multivariate outcomes

DOI10.1515/ijb-2019-0061MaRDI QIDQ6636001

Andrew Mertens, Benjamin F. Arnold, Aryeh Stein, Alan E. Hubbard, John M. jun. Colford, Unnamed Author, Mark Johannes van der Laan

Publication date: 12 November 2024

Published in: The International Journal of Biostatistics (Search for Journal in Brave)

zbMATH Keywords

epidemiologymachine learningcanonical correlationvariable importancemultivariate outcomes

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• Super Learner
• RELATIONS BETWEEN TWO SETS OF VARIATES
• THE STATISTICAL SIGNIFICANCE OF CANONICAL CORRELATIONS
• Random forests
• Statistical inference for data adaptive target parameters

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