3 papers
stat.ML2026
Analytical and Bootstrap Confidence Intervals of Double Machine Learning: Simulation studies and an application to rural-urban difference in obesity prevalence
Haozheng Xu, Siyuan Ma, Qingyan Xiang
Double Machine Learning (DML) is a popular approach for treatment effect estimation in various settings, which allows a wide range of flexible machine learning methods to be used f…
stat.OT2026
Using large language models for sensitivity analysis in causal inference: case studies on Cornfield inequality and E-value
Qingyan Xiang, Jiahao Zhang, Bojian Feng
Sensitivity analysis methods such as the Cornfield inequality and the E-value were developed to assess the robustness of observed associations against unmeasured confounding -- a m…
stat.ME2025
Estimating treatment effects from observational data under truncation by death using survival-incorporated quantiles
Qingyan Xiang, Paola Sebastiani, Thomas Perls +4
The issue of "truncation by death" commonly arises in clinical research: subjects may die before their follow-up assessment, resulting in undefined clinical outcomes. To address th…