7 citations · 8 across the 4 of their papers we have counts for
4 papers
Bridging extrinsic and intrinsic variable importance
Yucheng Zhao, Brian D. Williamson
Variable importance may describe either intrinsic predictive information in a population or extrinsic importance for a fitted prediction rule. Quantifying the uncertainty in variab…
Practical considerations for variable screening in the super learner
Brian D. Williamson, Drew King, Ying Huang
Estimating a prediction function is a fundamental component of many data analyses. The super learner ensemble, a particular implementation of stacking, has desirable theoretical pr…
An Application of the Causal Roadmap in Two Safety Monitoring Case Studies: Covariate-Adjustment and Outcome Prediction using Electronic Health Record Data
Brian D Williamson, Richard Wyss, Elizabeth A Stuart +4
Real-world data, such as administrative claims and electronic health records, are increasingly used for safety monitoring and to help guide regulatory decision-making. In these set…
Flexible variable selection in the presence of missing data
B. D. Williamson, Y. Huang
In many applications, it is of interest to identify a parsimonious set of features, or panel, from multiple candidates that achieves a desired level of performance in predicting a…