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Xiaofei Wang

4 papers hereh-index 8278 citations19 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME4
same name
  • Xiaofei Wang — 30 papers, h 21
  • Xiaofei Wang — 12 papers
  • Xiaofei Wang — 8 papers, h 39
  • Xiaofei Wang — 6 papers, h 3
  • Xiaofei Wang — 5 papers
  • Xiaofei Wang — 4 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

stat.ME2026

Selective Information Borrowing for Region-Specific Treatment Effect Inference under Covariate Mismatch in Multi-Regional Clinical Trials

Chenxi Li, Ke Zhu, Shu Yang +1

Multi-regional clinical trials (MRCTs) are central to global drug development, enabling evaluation of treatment effects across diverse populations. A key challenge is valid and eff…

stat.ME2025

Robust Estimation and Inference in Hybrid Controlled Trials for Binary Outcomes: A Case Study on Non-Small Cell Lung Cancer

Jiajun Liu, Ke Zhu, Shu Yang +1

Hybrid controlled trials (HCTs), which augment randomized controlled trials (RCTs) with external controls (ECs), are increasingly receiving attention as a way to address limited po…

stat.ME2025

Integrative Analysis of High-dimensional RCT and RWD Subject to Censoring and Hidden Confounding

Xin Ye, Shu Yang, Xiaofei Wang +1

In this study, we focus on estimating the heterogeneous treatment effect (HTE) for survival outcome. The outcome is subject to censoring and the number of covariates is high-dimens…

stat.ME2025

Statistical Inference for Heterogeneous Treatment Effect with Right-censored Data from Synthesizing Randomized Clinical Trials and Real-world Data

Guangcai Mao, Shu Yang, Xiaofei Wang

The heterogeneous treatment effect plays a crucial role in precision medicine.There is evidence that real-world data, even subject to biases, can be employed as supplementary evide…

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