activity
20142023
most citedOn the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges

9 citations · 30 across the 11 of their papers we have counts for

collaborators
Showing 2021Show all

2 papers · 1 filter

stat.ME2021

Causal Inference with Truncation-by-Death and Unmeasured Confounding

Yuhao Deng, Yingjun Chang, Xiao-Hua Zhou

Clinical studies sometimes encounter truncation by death, rendering outcomes undefined. Statistical analysis based solely on observed survivors may give biased results because the…

stat.ME2021★ 3 cited

Model-Assisted Inference for Covariate-Specific Treatment Effects with High-dimensional Data

Peng Wu, Zhiqiang Tan, Wenjie Hu +1

Covariate-specific treatment effects (CSTEs) represent heterogeneous treatment effects across subpopulations defined by certain selected covariates. In this article, we consider ma…