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  2. 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. ... I will talk about an ongoing work on “almost exact Mendelian
  3. Mendelian randomization: Old and new insights | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/penn-biostat-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. ... I will talk about an ongoing work on “almost exact Mendelian
  4. https://www.statslab.cam.ac.uk/~qz280/tag/genetics/index.xml

    https://www.statslab.cam.ac.uk/~qz280/tag/genetics/index.xml
    3 Jun 2024: 2021/ Mendelian randomization: Old and new insights https://www.statslab.cam.ac.uk/qz280/talk/penn-biostat-2021/ Fri, 16 Apr 2021 18:00:00 0000 ... uk/qz280/talk/penn-biostat-2021/ Mendelian randomization: Old and new insights
  5. https://www.statslab.cam.ac.uk/~qz280/talk/index.xml

    https://www.statslab.cam.ac.uk/~qz280/talk/index.xml
    3 Jun 2024: and new insights https://www.statslab.cam.ac.uk/qz280/talk/penn-biostat-2021/ Fri, 16 Apr 2021 18:00:00 0000 ... biostat-2021/ Mendelian randomization: Old and new insights https://www.statslab.cam.ac.uk/qz280/talk/epfl-2021/ Fri, 26 Mar 2021 15:00:00
  6. Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/
    3 Jun 2024: I am interested in improving the general quality and appraisal of statistical research, including new methodology and a better understanding of causal inference, novel study designs, sensitivity analysis, multiple testing, and ... News. <2024-03-01 Fri>
  7. Posts | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/post/
    3 Jun 2024: We invented some new notation to distinguish some different types of graph connections/separations.
  8. | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/featured/
    3 Jun 2024: September 2023A new approach to sensitivity analysis in linear SEMs using stochastic optimization and the $R2$-calculus.
  9. Genetics | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/genetics/
    3 Jun 2024: The idea of MR can be traced back to the dawn of modern statistics and genetics a century ago, although the terminology was not …. Mendelian randomization: Old and new insights.
  10. Macros for graph separations | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/post/graph-separation/
    3 Jun 2024: We invented some new notation to distinguish some different types of graph connections/separations. ... Macros for the new notation can be found in the file below:.
  11. PathGPS: Discover shared genetic architecture using biobank data |…

    https://www.statslab.cam.ac.uk/~qz280/publication/pathgps/
    3 Jun 2024: May 2022Abstract. The increasing availability and scale of Genome Wide Association Studies (GWAS) bring new horizons for understanding biological mechanisms. ... When applying to a metabolomics dataset and the UK Biobank, PathGPS confirms several known
  12. Talks | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/
    3 Jun 2024: Search. Talks. 2024. Design: The Elusive Principle of Statistics. 2024-03-07 1:00 PM — 2:00 PM University of Oxford. 2024-02-13 2:00 PM — 3:00 PM University of East Anglia. 2024-02-08 2:00 PM — 3:00 PM London School of Economics and Political
  13. Reliable Inference for Precision Medicine | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/jsm-2021/
    3 Jun 2024: New Frontiers and Developments in Causal Inference (invited session).
  14. Probability and Random Processes, 4e

    https://www.statslab.cam.ac.uk/~grg/books/prp5.html
    3 May 2024: What's new in this pair of volumes? Reorganization and expansion of certain material. ... Addition of around 300 new exercises and problems, making a total of over 1300.
  15. Causal-Inference | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/causal-inference/
    3 Jun 2024: A new Bayesian full-information method for life-course Mendelian randomization. We propose a systematic way to select confounders. ... A new approach to sensitivity analysis in linear SEMs using stochastic optimization and the $R2$-calculus.
  16. IV & MR (project page) | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/project/iv-mr/
    3 Jun 2024: A new Bayesian full-information method for life-course Mendelian randomization. Zixuan Wu, Ethan Lewis, Qingyuan Zhao, Jingshu Wang. ... The new GRAPPLE framework can handle multiple exposures and overlapping exposure and …. Jingshu Wang, Qingyuan Zhao,
  17. Randomization | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/randomization/
    3 Jun 2024: A new term---'quasi-randomization test'---is …. What is a randomization test?.
  18. Resarch Group in Mathematical Statistics Department of Pure…

    https://www.statslab.cam.ac.uk/~nickl/Site/ercproject.html
    7 Feb 2024: NEW: Conference for Vladimir Koltchinskii. NEW: Workshop in September 2024 in Cambridge.
  19. Using sparsity to overcome unmeasured confounding | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/iscb-2020/
    3 Jun 2024: I will describe a new statistical framework called Robust Adjusted Profile Score (MR-RAPS) which can provide efficient and robust inference in such problems, by exploiting weak genetic instruments and limiting
  20. Resources for Mendelian randomization | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/post/mr-software/
    3 Jun 2024: help(mr.raps). GRAPPLE. Check out this new R package called GRAPPLE that accommodates multiple exposure factors and GWAS sample overlap:.
  21. What is a randomization test? | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/publication/single-crt/
    3 Jun 2024: A new term—‘quasi-randomization test’—is introduced to define significance tests based on theoretical models and distinguish these tests from the ‘randomization tests’ based on the physical act of randomization.

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