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20222026
most citedAn Application of the Causal Roadmap in Two Safety Monitoring Case Studies: Covariate-Adjustment and Outcome Prediction using Electronic Health Record Data

7 citations · 8 across the 4 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

stat.ML2023

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…

stat.ME2023★ 7 cited

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…