3 papers
stat.ME2025
Double Machine Learning Methods for Estimating Average Treatment Effects: A Comparative Study
Xiaoqing Tan, Shu Yang, Wenyu Ye +3
Observational cohort studies are increasingly being used for comparative effectiveness research to assess the safety of therapeutics. Recently, various doubly robust methods have b…
stat.ME2024
Improving randomized controlled trial analysis via data-adaptive borrowing
Chenyin Gao, Shu Yang, Mingyang Shan +3
In recent years, real-world external controls have grown in popularity as a tool to empower randomized placebo-controlled trials, particularly in rare diseases or cases where balan…
stat.ME2024
Modern approaches for evaluating treatment effect heterogeneity from clinical trials and observational data
Ilya Lipkovich, David Svensson, Bohdana Ratitch +1
In this paper we review recent advances in statistical methods for the evaluation of the heterogeneity of treatment effects (HTE), including subgroup identification and estimation…