Featured Publications

Counterfactual explainability and analysis of variance

We propose a counterfactual notion of explainability.
January 2025
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On statistical and causal models associated with acyclic directed mixed graphs

Causal models in statistics are often described by acyclic directed mixed graphs (ADMGs), which contain directed and bidirected edges …
September 2024
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Selective Randomization Inference for Adaptive Experiments

We apply ideas from post-selection inference to randomization tests for adaptive experiments.
May 2024
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Recent publications

Zijun Gao, Ting Ye, Qingyuan Zhao (2026). On marginal and conditional error in adaptive clinical trials.

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Haochen Lei, Jieru Shi, Hongyuan Cao, Qingyuan Zhao (2025). Heritability: a counterfactual perspective.

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Qingyuan Zhao (2025). Proximal causal identification using a hidden tetrad constraint.

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Zijun Gao, Qingyuan Zhao (2025). Counterfactual explainability and analysis of variance.

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Joakim Blach Andersen, Qingyuan Zhao (2025). A graphical approach to state variable selection in off-policy learning.

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Qingyuan Zhao (2024). On statistical and causal models associated with acyclic directed mixed graphs.

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Qingyuan Zhao (2024). A matrix algebra for graphical statistical models.

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Tobias Freidling, Qingyuan Zhao, Zijun Gao (2024). Selective Randomization Inference for Adaptive Experiments.

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Zixuan Wu, Ethan Lewis, Qingyuan Zhao, Jingshu Wang (2024). Causal mediation analysis for time-varying heritable risk factors with Mendelian Randomization. Nature Communications.

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Zijun Gao, Wenjie Hu, Qingyuan Zhao (2024). A constructive approach to selective risk control.

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