Featured Publications

A graphical approach to state variable selection in off-policy learning

We give graphical criteria for state variables to be ‘valid’ in off-policy learning in a framework that generalizes dynamic treatment regimes (DTRs) and Markov decision processes (MDPs).
Joakim Blach Andersen, Qingyuan Zhao
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.
Tobias Freidling, Qingyuan Zhao, Zijun Gao
May 2024
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Recent publications

Zijun Gao, Qingyuan Zhao (2025). Counterfactual explainability of black-box prediction models.

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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.

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

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

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

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

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