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20182025
most citedAI-Assisted Causal Pathway Diagram for Human-Centered Design

20 citations

Showing 2023Show all

5 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

Inference on summaries of a model-agnostic longitudinal variable importance trajectory with application to suicide prevention

Brian D. Williamson, Erica E. M. Moodie, Gregory E. Simon +2

Risk of suicide attempt varies over time. Understanding the importance of risk factors measured at a mental health visit can help clinicians evaluate future risk and provide approp…

stat.ME2023

Causal Quantile Treatment Effects with missing data by double-sampling

Shuo Sun, Sebastien Haneuse, Alexander W. Levis +5

Causal weighted quantile treatment effects (WQTE) are a useful complement to standard causal contrasts that focus on the mean when interest lies at the tails of the counterfactual…

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…

stat.AP2023★ 16 cited

Analysis of the 24-Hour Activity Cycle: An illustration examining the association with cognitive function in the Adult Changes in Thought (ACT) Study

Yinxiang Wu, Dori E. Rosenberg, Mikael Anne Greenwood-Hickman +7

The 24-hour activity cycle (24HAC) is a new paradigm for studying activity behaviors in relation to health outcomes. This approach captures the interrelatedness of the daily time s…