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  2. John Thompson | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/john-thompson/
    3 Jun 2024: Search. John Thompson. Latest. Improving the accuracy of two-sample summary data Mendelian randomization: moving beyond the NOME assumption. 2024. Powered by the Academic theme forCite.
  3. Jure Leskovec | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/jure-leskovec/
    3 Jun 2024: Search. Jure Leskovec. Latest. SEISMIC: A self-exciting point process model for predicting tweet popularity. 2024. Powered by the Academic theme forCite.
  4. Trevor Hastie | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/trevor-hastie/
    3 Jun 2024: Search. Trevor Hastie. Latest. 2024. Powered by the Academic theme forCite.
  5. Peter Haynes: Publications

    www.damtp.cam.ac.uk/user/phh/pubs.html
    22 Apr 2024: Peter Haynes: Publications list. Copies of any of these papers can be supplied on request, though it will be easier and quicker to download the paper yourself from the journal if
  6. ivmodel: An R package for inference and sensitivity analysis of…

    https://www.statslab.cam.ac.uk/~qz280/publication/iv-model/
    3 Jun 2024: Search. ivmodel: An R package for inference and sensitivity analysis of instrumental variables models with one endogenous variable. Hyunseung Kang, Yang Jiang, Qingyuan Zhao, Dylan Small. February 2020Abstract. Vignette of an R package for
  7. Using Mendelian randomization to discover biological mechanisms |…

    https://www.statslab.cam.ac.uk/~qz280/talk/jsm-2023/
    3 Jun 2024: Search. Using Mendelian randomization to discover biological mechanisms. Date. 2023-08-10 —. Joint Statistical Meeting (2023). Location. Toronto, Canada. 2024. Powered by the Academic theme forCite.
  8. Bootstrapping sensitivity analysis | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/jsm-2020/
    3 Jun 2024: Search. Bootstrapping sensitivity analysis. Date. 2020-08-03. Event. JSM 2020. Location. JSM 2020 (Virtual). 2024. Powered by the Academic theme forCite.
  9. Confounder selection via iterative graph expansion | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/pcic-2023/
    3 Jun 2024: Search. Confounder selection via iterative graph expansion. Date. 2023-09-17 12:00 AM — 12:00 AM. Pacific Causal Inference Conference. Location. Peking University, China. 2024. Powered by the Academic theme forCite.
  10. Simultaneous Hypothesis Testing Using Internal Negative Controls with …

    https://www.statslab.cam.ac.uk/~qz280/publication/ranc/
    3 Jun 2024: Search. Simultaneous Hypothesis Testing Using Internal Negative Controls with An Application to Proteomics. Zijun Gao, Qingyuan Zhao. March 2023Abstract. Negative control is a common technique in scientific investigations and broadly refers to the
  11. Ashkan Ertefaie | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/ashkan-ertefaie/
    3 Jun 2024: Search. Ashkan Ertefaie. Latest. Selective inference for effect modification via the lasso. 2024. Powered by the Academic theme forCite.
  12. The Churchill Papers - Churchill Archives Centre

    https://archives.chu.cam.ac.uk/collections/churchill-papers/
    Thumbnail for The Churchill Papers - Churchill Archives Centre 3 May 2024: Researchers can download images of documents directly from churchillarchive.com and so are encouraged to consider bringing a laptop or other device for this purpose.
  13. Causal Inference with Observational Data: Common Designs and…

    https://www.statslab.cam.ac.uk/~qz280/teaching/siscer-2023/
    3 Jun 2024: Search. Causal Inference with Observational Data: Common Designs and Statistical Methods (2023). Course description. Observational studies are non-interventional empirical investigations of causal effects and are playing an increasingly vital role
  14. 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
  15. Multiple Testing | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/multiple-testing/
    3 Jun 2024: Search. Multiple Testing. A constructive approach to selective risk control. Many modern applications require the use of data to both select the statistical tasks and make valid inference after selection. In this article, we provide a unifying
  16. Art Owen | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/art-owen/
    3 Jun 2024: Search. Art Owen. Latest. Confounder adjustment in multiple hypothesis testing. 2024. Powered by the Academic theme forCite.
  17. Discovering mechanistic heterogeneity using Mendelian randomization | …

    https://www.statslab.cam.ac.uk/~qz280/talk/pcic-2020/
    3 Jun 2024: Search. Discovering mechanistic heterogeneity using Mendelian randomization. Abstract. Mendelian Randomization (MR) is a popular method in epidemiology and genetics that uses genetic variation as instrumental variables for causal inference. Existing
  18. Randomization | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/randomization/
    3 Jun 2024: Search. Randomization. Selective Randomization Inference for Adaptive Experiments. We apply ideas from post-selection inference to randomization tests for adaptive experiments. Discussion on (quasi-)randomization inference. The following is an email
  19. Using sparsity to overcome unmeasured confounding | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/iscb-2020/
    3 Jun 2024: Search. Using sparsity to overcome unmeasured confounding. Abstract. Sparsity is often used to improve the interpretability of a statistical analysis and/or reduce the variance of a statistical estimator. This talk will explore another aspect—the
  20. 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
  21. Tobias Freidling | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/tobias-freidling/
    3 Jun 2024: Search. Tobias Freidling. Latest. 2024. Powered by the Academic theme forCite.

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