Brian D. Williamson

1. A general framework for inference on algorithm-agnostic variable importance
   2020/04/07 by Brian D. Williamson, Peter B. Gilbert, Williamson, Brian D. +5 · 11 citations
   Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Methodology (stat.ME) #Statistics Theory (math.ST)
2. Efficient nonparametric statistical inference on population feature importance using Shapley values
   2020/06/16 by Brian D. Williamson, Williamson, Brian D., Jean Feng +1 · 6 citations
   Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
3. A Causal Roadmap for Generating High-Quality Real-World Evidence
   2023/05/11 by Lauren Eyler Dang, Susan Gruber, Dang, Lauren E +48 · 5 citations
   Economics, Econometrics and Finance · Mathematics · Decision Sciences · #Health Systems, Economic Evaluations, Quality of Life #Advanced Causal Inference Techniques #Meta-analysis and systematic reviews
4. Using binary silver labels in electronic health records-based computable phenotyping algorithms
   2026/07/20 by Shuhe Wang, Matthew T. Slaughter, Jennifer C. Nelson +1
   #stat.ME #cs.LG #stat.ML