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Peng Wang

4 papers hereh-index 228 citations9 works total

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

author position
  • last author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME4
same name
  • Peng Wang — 45 papers, h 32
  • Peng Wang — 24 papers, h 19
  • Peng Wang — 20 papers, h 25
  • Peng Wang — 19 papers, h 32
  • Peng Wang — 18 papers, h 20
  • Peng Wang — 17 papers, h 16

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

activity
20242026
collaborators

4 papers

stat.ME2026

The Modified Egger Intercept Tests for Detecting Horizontal Pleiotropy in Two-Sample Summary-Data Mendelian Randomization

Yilei Ma, Youpeng Su, Xin Liu +3

The Egger intercept (EI) test is a widely used tool to detect horizontal pleiotropy in two-sample summary-data Mendelian randomization. A significant EI test suggests that either t…

stat.ME2026

Simultaneously accounting for the winner's curse and sample structure in Mendelian randomization: bivariate rerandomized inverse variance weighted estimator

Xin Liu, Youpeng Su, Chuchu Zeng +4

The recently developed rerandomized inverse variance weighted (RIVW) estimator provides a simple and efficient framework to break the winner's curse in two-sample Mendelian randomi…

stat.ME2025

Correction for Weak IV Bias and Winner's Curse in Mendelian Randomization Egger Regression: Rerandomized Egger estimator

Youpeng Su, Yilei Ma, Ping Yin +1

In two-sample Mendelian randomization (MR), Egger regression is widely used as a sensitivity analysis when directional pleiotropy is detected. However, the increasing complexity of…

stat.ME2024

A modified debiased inverse-variance weighted estimator in two-sample summary-data Mendelian randomization

Youpeng Su, Siqi Xu, Yilei Ma +4

Mendelian randomization uses genetic variants as instrumental variables to make causal inferences about the effects of modifiable risk factors on diseases from observational data.…

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