Publications by authors named "Brian D Williamson"

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Behavior of prediction performance metrics with rare events.
Emily Minus, R Yates Coley, Susan M Shortreed, Brian D Williamson

J Clin Epidemiol· November 2025

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Multicenter Study on the Safety of Pulsed Field Ablation in Over 40,000 Patients: MANIFEST-US.
Mohit K Turagam, Arash Aryana, John D Day, Srinivas R Dukkipati, Troy Hounshell, Brian D Williamson

J Am Coll Cardiol· November 2025

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Practical Considerations for Variable Screening in the Super Learner.
Brian D Williamson, Drew King, Ying Huang

N Engl J Stat Data Sci· May 2025

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Resistance mutations that distinguish HIV-1 envelopes with discordant VRC01 phenotypes from multi-lineage infections in the HVTN703/HPTN081 trial: implications for cross-resistance.
Paula Cohen, Bronwen E Lambson, Nonhlanhla N Mkhize, Chivonne Moodley, Anna E J Yssel, Brian D Williamson, Carolyn Williamson

J Virol· February 2025

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Importance of variables from different time frames for predicting self-harm using health system data.
Charles J Wolock, Brian D Williamson, Susan M Shortreed, Gregory E Simon, Karen J Coleman

J Biomed Inform· December 2024

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Flexible variable selection in the presence of missing data.
Brian D Williamson, Ying Huang

Int J Biostat· November 2024

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Predicting neutralization susceptibility to combination HIV-1 monoclonal broadly neutralizing antibody regimens.
Brian D Williamson, Liana Wu, Yunda Huang, Aaron Hudson, Peter B Gilbert

PLoS One· September 2024

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Importance of variables from different time frames for predicting self-harm using health system data.
Charles J Wolock, Brian D Williamson, Susan M Shortreed, Gregory E Simon, Karen J Coleman

medRxiv· September 2024

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Correction: Considerations for Subgroup Analyses in Cluster-Randomized Trials Based on Aggregated Individual-Level Predictors.
Brian D Williamson, R Yates Coley, Clarissa Hsu, Courtney E McCracken, Andrea J Cook

Prev Sci· August 2024

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A general framework for developing computable clinical phenotype algorithms.
David S Carrell, James S Floyd, Susan Gruber, Brian L Hazlehurst, Patrick J Heagerty, Brian D Williamson

J Am Med Inform Assoc· August 2024

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Metabolite Predictors of Breast and Colorectal Cancer Risk in the Women's Health Initiative.
Sandi L Navarro, Brian D Williamson, Ying Huang, G A Nagana Gowda, Daniel Raftery

Metabolites· August 2024

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Considerations for Subgroup Analyses in Cluster-Randomized Trials Based on Aggregated Individual-Level Predictors.
Brian D Williamson, R Yates Coley, Clarissa Hsu, Courtney E McCracken, Andrea J Cook

Prev Sci· July 2024

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Reducing Central Nervous System-Active Medications to Prevent Falls and Injuries Among Older Adults: A Cluster Randomized Clinical Trial.
Elizabeth A Phelan, Brian D Williamson, Benjamin H Balderson, Andrea J Cook, Annalisa V Piccorelli

JAMA Netw Open· July 2024

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Quantifying how single dose Ad26.COV2.S vaccine efficacy depends on Spike sequence features.
Craig A Magaret, Li Li, Allan C deCamp, Morgane Rolland, Michal Juraska, Brian D Williamson

Nat Commun· March 2024

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Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease.
Joshua C Smith, Brian D Williamson, David J Cronkite, Daniel Park, Jill M Whitaker

J Am Med Inform Assoc· February 2024

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Engaging staff to improve COVID-19 vaccination response at long-term care facilities (ENSPIRE): A cluster randomized trial of co-designed, tailored vaccine promotion materials.
Clarissa Hsu, Brian D Williamson, Marla Becker, Breana Berry, Andrea J Cook

Contemp Clin Trials· January 2024

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Prevention efficacy of the broadly neutralizing antibody VRC01 depends on HIV-1 envelope sequence features.
Michal Juraska, Hongjun Bai, Allan C deCamp, Craig A Magaret, Li Li, Brian D Williamson, Carolyn Williamson

Proc Natl Acad Sci U S A· January 2024

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Predicting neutralization susceptibility to combination HIV-1 monoclonal broadly neutralizing antibody regimens.
Brian D Williamson, Liana Wu, Yunda Huang, Aaron Hudson, Peter B Gilbert

bioRxiv· December 2023

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Application of the SLAPNAP statistical learning tool to broadly neutralizing antibody HIV prevention research.
Brian D Williamson, Craig A Magaret, Shelly Karuna, Lindsay N Carpp, Huub C Gelderblom

iScience· September 2023

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An application of the Causal Roadmap in two safety monitoring case studies: Causal inference and outcome prediction using electronic health record data.
Brian D Williamson, Richard Wyss, Elizabeth A Stuart, Lauren E Dang, Andrew N Mertens

J Clin Transl Sci· September 2023

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A causal roadmap for generating high-quality real-world evidence.
Lauren E Dang, Susan Gruber, Hana Lee, Issa J Dahabreh, Elizabeth A Stuart, Brian D Williamson

J Clin Transl Sci· September 2023

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A health-system-embedded deprescribing intervention targeting patients and providers to prevent falls in older adults (STOP-FALLS trial): study protocol for a pragmatic cluster-randomized controlled trial.
Benjamin H Balderson, Shelly L Gray, Monica M Fujii, Kanichi G Nakata, Brian D Williamson

Trials· May 2023

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Comparing antibody assays as correlates of protection against COVID-19 in the COVE mRNA-1273 vaccine efficacy trial.
David Benkeser, David C Montefiori, Adrian B McDermott, Youyi Fong, Holly E Janes, Brian D Williamson

Sci Transl Med· April 2023

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Baseline host determinants of robust human HIV-1 vaccine-induced immune responses: A meta-analysis of 26 vaccine regimens.
Yunda Huang, Yuanyuan Zhang, Kelly E Seaton, Stephen De Rosa, Jack Heptinstall, Brian D Williamson

EBioMedicine· October 2022

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A general framework for inference on algorithm-agnostic variable importance.
Brian D Williamson, Peter B Gilbert, Noah R Simon, Marco Carone

J Am Stat Assoc· January 2022

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