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Qingyuan Zhao
Qingyuan Zhao
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Featured Publications

Confounder selection via iterative graph expansion

We propose a systematic way to select confounders
F Richard Guo, Qingyuan Zhao
September 2023
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Sensitivity Analysis with the $R^2$-calculus

A new approach to sensitivity analysis in linear SEMs using stochastic optimization and the $R^2$-calculus
Tobias Freidling, Qingyuan Zhao
January 2023
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Sensitivity Analysis with the $R^2$-calculus

Multiple conditional randomization tests

We propose a general framework for (multiple) conditional randomization tests that incorporate several important ideas in the recent …
Yao Zhang, Qingyuan Zhao
April 2021
PDF Code Project Slides

Recent publications

F Richard Guo, Qingyuan Zhao (2023). Confounder selection via iterative graph expansion.

PDF Slides

Zijun Gao, Qingyuan Zhao (2023). Simultaneous Hypothesis Testing Using Internal Negative Controls with An Application to Proteomics.

PDF Slides

Tobias Freidling, Qingyuan Zhao (2023). Sensitivity Analysis with the $R^2$-calculus.

PDF

Yao Zhang, Qingyuan Zhao (2022). Bounds and semiparametric inference in $L^.Inf$- and $L^2$-sensitivity analysis for observational studies.

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Katarzyna Reluga, Ting Ye, Qingyuan Zhao (2022). A unified analysis of regression adjustment in randomized experiments.

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F Richard Guo, Anton Rask Lundborg, Qingyuan Zhao (2022). Confounder selection: Objectives and approaches.

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Matt Tudball, George Davey Smith, Qingyuan Zhao (2022). Almost exact Mendelian randomization.

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Zijun Gao, Trevor Hastie, Qingyuan Zhao (2022). PathGPS: Discover shared genetic architecture using biobank data.

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Yao Zhang, Qingyuan Zhao (2022). What is a randomization test?. Journal of the American Statistical Association.

PDF Code Project Slides DOI

Eleanor Sanderson, M. Maria Glymour, Michael V. Holmes, Hyunseung Kang, Jean Morrison, Marcus R. Munafò, Tom Palmer, C. Mary Schooling, Chris Wallace, Qingyuan Zhao, George Davey Smith (2022). Mendelian randomization. Nature Reviews Methods Primers.

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See all publications

2023

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