Treatment Effect Modifiers.pdf

2304.05323.pdf
Preview of Treatment Effect Modifiers
🔗 Source: arxiv.org
📊 Size: 2.36 MB
📄 Pages: 31 pages
⬇️ Downloads: 112

Summary

A nonparametric framework is developed for treatment effect modifier discovery in high-dimensional data, allowing for arbitrary correlation structure and non-parametric processes. The framework defines model-agnostic variable importance parameters and derives estimators with asymptotic guarantees, which are demonstrated through simulation experiments and applied to gene expression data from a breast cancer clinical trial.

Description

A nonparametric framework is developed for treatment effect modifier discovery in high-dimensional data, allowing for arbitrary correlation structure and...

Technical Information

  • File Format: PDF
  • File Size: 2.36 MB
  • Pages: 31
  • Language: EN
  • Total Downloads: 112
  • Last Updated: 1 week ago

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