Name: Brian Williamson
Type: User
Company: Kaiser Permanente Washington Health Research Institute
Bio: Assistant Investigator at Kaiser Permanente Washington Health Research Institute. Interested in inference in high-dimensional settings.
Location: Seattle, Washington USA
Blog: https://bdwilliamson.github.io/
Brian Williamson's Projects
R package of personal utility functions
landing page and information
Brian Williamson's research website
My personal website
Course materials for BIOST 311 --- Regression Methods in the Health Sciences, taught Spring 2018 at the University of Washington
Course materials for BIOST561
SLAPNAP applied and validated for use by HVTN
Slides for a talk on design considerations for heterogeneity of treatment effects analyses in cluster-randomized trials
Code to reproduce simulations in "Considerations for subgroup analyses in cluster-randomized trials based on aggregated individual-level predictors"
Code of conduct
Reproducible reporting workflow for statistical analyses of immune correlates in COVID-19 vaccine trials
Generalized reproducible reporting workflow for statistical analyses of candidate immune correlates of risk and protection in vaccine efficacy trials
Generalized reproducible reporting workflow for statistical analyses of candidate immune correlates of risk and protection in vaccine efficacy trials
Cross-validation-based maximal associations
Slides for a talk on model-agnostic variable importance and selection
Slides for a talk on model-agnostic variable selection
Lecture notes and files for the annual UW SPH Epidemiology/Biostatistics mathematics and R workshop.
Flexible, ensemble-based variable selection
Supplementary materials for the `flevr` paper
Slides for talk(s) on inference on general, model-agnostic variable importance
Slides for a talk on inference for model-agnostic variable importance at ICSA 2022
ASA SLDS Webinar Series talk
Code for replicating the analyses in "Predicting neutralization susceptibility to combination HIV-1 monoclonal broadly neutralizing antibody regimens"
Slides for keynote talk at the 2021 Hutch United Symposium at Fred Hutch
Variable importance analysis for HVTN505 correlates analysis
Slides for a talk on longitudinal variable importance
Perform Inference on Summaries of Longidutinal Algorithm-Agnostic Variable Importance
Supplementary materials for the `lvimp` paper
Supporting information and code for reproducing analyses in "A multi-view model for relative and absolute microbial abundances"