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Brian D Williamson

Showing results (1-10 of 54) with videos related to

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Proceedings of Machine Learning Research|April 22, 2021
Efficient nonparametric statistical inference on population feature importance using Shapley valuesBrian D Williamson, Jean Feng
The International Journal of Biostatistics|February 13, 2024
Flexible variable selection in the presence of missing dataBrian D Williamson, Ying Huang
The New England Journal of Statistics in Data Science|September 29, 2025
Practical Considerations for Variable Screening in the Super LearnerBrian D Williamson, Drew King, Ying Huang
BMC Medical Informatics and Decision Making|November 23, 2021
Improving random forest predictions in small datasets from two-phase sampling designsSunwoo Han, Brian D Williamson, Youyi Fong
Biometrics|May 28, 2021
A multiview model for relative and absolute microbial abundancesBrian D Williamson, James P Hughes, Amy D Willis
The Journal of Innovations in Cardiac Rhythm Management|June 3, 2022
Diaphragmatic Pacing as an Initial Presentation of Delayed Ventricular Lead PerforationLuai Madanat, Kuldeep Shah, Richard Bloomingdale, et al.
Statistical Methods in Medical Research|October 9, 2018
Adaptive non-inferiority margins under observable non-constancyBrett Hanscom, James P Hughes, Brian D Williamson, et al.
Biometrics|October 12, 2020
Nonparametric variable importance assessment using machine learning techniquesBrian D Williamson, Peter B Gilbert, Marco Carone, et al.
Biometrics|December 8, 2020
Rejoinder to "Nonparametric variable importance assessment using machine learning techniques"Brian D Williamson, Peter B Gilbert, Marco Carone, et al.
Journal of Clinical Epidemiology|November 12, 2025
Behavior of prediction performance metrics with rare eventsEmily Minus, R Yates Coley, Susan M Shortreed, et al.
Pageof 6

Showing results (1-10 of 54) with videos related to

Sort By:
Pageof 6
Proceedings of Machine Learning Research|April 22, 2021
Efficient nonparametric statistical inference on population feature importance using Shapley valuesBrian D Williamson, Jean Feng
The International Journal of Biostatistics|February 13, 2024
Flexible variable selection in the presence of missing dataBrian D Williamson, Ying Huang
The New England Journal of Statistics in Data Science|September 29, 2025
Practical Considerations for Variable Screening in the Super LearnerBrian D Williamson, Drew King, Ying Huang
BMC Medical Informatics and Decision Making|November 23, 2021
Improving random forest predictions in small datasets from two-phase sampling designsSunwoo Han, Brian D Williamson, Youyi Fong
Biometrics|May 28, 2021
A multiview model for relative and absolute microbial abundancesBrian D Williamson, James P Hughes, Amy D Willis
The Journal of Innovations in Cardiac Rhythm Management|June 3, 2022
Diaphragmatic Pacing as an Initial Presentation of Delayed Ventricular Lead PerforationLuai Madanat, Kuldeep Shah, Richard Bloomingdale, et al.
Statistical Methods in Medical Research|October 9, 2018
Adaptive non-inferiority margins under observable non-constancyBrett Hanscom, James P Hughes, Brian D Williamson, et al.
Biometrics|October 12, 2020
Nonparametric variable importance assessment using machine learning techniquesBrian D Williamson, Peter B Gilbert, Marco Carone, et al.
Biometrics|December 8, 2020
Rejoinder to "Nonparametric variable importance assessment using machine learning techniques"Brian D Williamson, Peter B Gilbert, Marco Carone, et al.
Journal of Clinical Epidemiology|November 12, 2025
Behavior of prediction performance metrics with rare eventsEmily Minus, R Yates Coley, Susan M Shortreed, et al.
Pageof 6