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  2. Zhen Miao | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/zhen-miao/
    3 Jun 2024: Search. Zhen Miao. Latest. A Mendelian randomization study of the role of lipoprotein subfractions in coronary artery disease. 2024. Powered by the Academic theme forCite.
  3. Design: The Elusive Principle of Statistics | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/oxford-2024/
    3 Jun 2024: Search. Design: The Elusive Principle of Statistics. Date. 2024-03-07 1:00 PM — 2:00 PM. Location. University of Oxford. 2024. Powered by the Academic theme forCite.
  4. Zijun Gao | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/zijun-gao/
    3 Jun 2024: Search. Zijun Gao. Latest. 2024. Powered by the Academic theme forCite.
  5. Tom Palmer | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/tom-palmer/
    3 Jun 2024: Search. Tom Palmer. Latest. Mendelian randomization. 2024. Powered by the Academic theme forCite.
  6. Sensitivity Analysis with the $R^2$-calculus | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/publication/r2-calculus/
    3 Jun 2024: Search. Sensitivity Analysis with the $R2$-calculus. Tobias Freidling, Qingyuan Zhao. January 2023R$-sensitivity contours for the lower end of the estimated partially identified region. Abstract. Causal inference necessarily relies upon untestable
  7. Estimation and prediction in sparse and unbalanced tables | Qingyuan…

    https://www.statslab.cam.ac.uk/~qz280/publication/hanova/
    3 Jun 2024: Search. Estimation and prediction in sparse and unbalanced tables. Qingyuan Zhao, Trevor Hastie, Daryl Pregibon. March 2017Abstract. When there is a multi-way table where each dimension has large number of levels, it is computationally intensive to
  8. Phyllis Ju | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/phyllis-ju/
    3 Jun 2024: Search. Phyllis Ju. Latest. BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic. 2024. Powered by the Academic theme forCite.
  9. Rajen Shah | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/rajen-shah/
    3 Jun 2024: Search. Rajen Shah. Latest. BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic. 2024. Powered by the Academic theme forCite.
  10. Yang Jiang | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/yang-jiang/
    3 Jun 2024: Search. Yang Jiang. Latest. ivmodel: An R package for inference and sensitivity analysis of instrumental variables models with one endogenous variable. 2024. Powered by the Academic theme forCite.
  11. Causal inference for heritable phenotypic risk factors using…

    https://www.statslab.cam.ac.uk/~qz280/publication/mr-grapple/
    3 Jun 2024: Search. Causal inference for heritable phenotypic risk factors using heterogeneous genetic instruments. Jingshu Wang, Qingyuan Zhao, Jack Bowden, Gibran Hemani, George Davey Smith, Dylan Small, Nancy Zhang. May 2020Abstract. We greatly improve the
  12. Murat A Erdogdu | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/murat-a-erdogdu/
    3 Jun 2024: Search. Murat A Erdogdu. Latest. SEISMIC: A self-exciting point process model for predicting tweet popularity. 2024. Powered by the Academic theme forCite.
  13. Reliable Inference for Precision Medicine | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/jsm-2021/
    3 Jun 2024: Search. Reliable Inference for Precision Medicine. Abstract. Two central objectives of individualized treatment are precision and optimality. A third objective is robustness, and this talk aims to explore what could happen if we account for
  14. Mendelian randomization: Old and new insights | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/epfl-2021/
    3 Jun 2024: Search. Mendelian randomization: Old and new insights. Abstract. Mendelian randomization (MR) is a method for causal inference that utilizes the natural experiment in genetic inheritance. The idea of MR can be traced back to the dawn of modern
  15. Luke Keele | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/luke-keele/
    3 Jun 2024: Search. Luke Keele. Latest. 2024. Powered by the Academic theme forCite.
  16. Graphical diagnosis of confounding bias in instrumental variables…

    https://www.statslab.cam.ac.uk/~qz280/publication/iv-diagnosis/
    3 Jun 2024: Search. Graphical diagnosis of confounding bias in instrumental variables analysis. Qingyuan Zhao, Dylan Small. May 2018Abstract. This research letter proposes a new diagnostic plot for IV analysis, so large bias ratios (compared to OLS estimator)
  17. Improving the accuracy of two-sample summary data Mendelian…

    https://www.statslab.cam.ac.uk/~qz280/publication/beyond-nome/
    3 Jun 2024: Search. Improving the accuracy of two-sample summary data Mendelian randomization: moving beyond the NOME assumption. Jack Bowden, Fabiola Del Greco M, Cosetta Minelli, Debbie Lawlor, Qingyuan Zhao, Nuala Sheehan, John Thompson, George Davey Smith.
  18. Ethan Lewis | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/ethan-lewis/
    3 Jun 2024: Search. Ethan Lewis. Latest. Causal mediation analysis for time-varying heritable risk factors with Mendelian Randomization. 2024. Powered by the Academic theme forCite.
  19. Wes Spiller | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/wes-spiller/
    3 Jun 2024: Search. Wes Spiller. Latest. Two-sample instrumental variable analyses using heterogeneous samples. 2024. Powered by the Academic theme forCite.
  20. Kinjal Basu | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/kinjal-basu/
    3 Jun 2024: Search. Kinjal Basu. Latest. Permutation $p$-value approximation via generalized Stolarsky invariance. 2024. Powered by the Academic theme forCite.
  21. Randomization (project page) | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/project/randomization/
    3 Jun 2024: Search. Randomization (project page). 2022-04-22. A related page isRelated. Publications. Selective Randomization Inference for Adaptive Experiments. We apply ideas from post-selection inference to randomization tests for adaptive experiments.

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