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  2. Social Sciences | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/social-sciences/
    3 Jun 2024: Search. Social Sciences. Performance evaluation with latent factors. We use the Confounder Adjusted Testing and Estimating (CATE) proposed in our previous paper to estimate the abnormal return (aka 'alpha') of U.S. equity mutual funds. When funds
  3. Statistical inference in two-sample summary-data Mendelian…

    https://www.statslab.cam.ac.uk/~qz280/publication/mr-raps/
    3 Jun 2024: Search. Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score. Qingyuan Zhao, Jingshu Wang, Gibran Hemani, Jack Bowden, Dylan Small. January 2018Abstract. We provide a comprehensive theoretical
  4. Confounder selection via iterative graph expansion | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/lse-2024/
    3 Jun 2024: Search. Confounder selection via iterative graph expansion. Date. 2024-02-08 2:00 PM — 3:00 PM. Event. Joint Econometrics and Statistics Seinar. Location. London School of Economics and Political Science (LSE). 2024. Powered by the Academic theme
  5. 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. The idea of MR can be traced back to the dawn of modern
  6. Chris Wallace | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/chris-wallace/
    3 Jun 2024: Search. Chris Wallace. Latest. Mendelian randomization. 2024. Powered by the Academic theme forCite.
  7. Marcus Munafo | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/marcus-munafo/
    3 Jun 2024: Search. Marcus Munafo. Latest. Mendelian randomization with coarsened exposures. 2024. Powered by the Academic theme forCite.
  8. Charles Zheng | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/charles-zheng/
    3 Jun 2024: Search. Charles Zheng. Latest. Comment on 'Causal inference using invariant prediction'. 2024. Powered by the Academic theme forCite.
  9. 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.
  10. Gibran Hemani | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/gibran-hemani/
    3 Jun 2024: Search. Gibran Hemani. Latest. 2024. Powered by the Academic theme forCite.
  11. Sean Hennessy | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/sean-hennessy/
    3 Jun 2024: Search. Sean Hennessy. Latest. A Mendelian randomization study of the role of lipoprotein subfractions in coronary artery disease. 2024. Powered by the Academic theme forCite.
  12. Seeking a summer research intern (EXPIRED) | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/post/summer-intern-2021/
    3 Jun 2024: Search. Seeking a summer research intern (EXPIRED). 2021-01-29 2 min read. I am posting a summer research project that may be suitable for Cambridge Part II students (or senior undergraduate students from other universities). Cambridge students can
  13. Statistical Modelling (Part II, Michaelmas 2022) | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/teaching/modelling-2022/
    3 Jun 2024: Search. Statistical Modelling (Part II, Michaelmas 2022). 2022-09-30. General information. This course consists of 16 lectures and 8 practical sessions. It complements the Part II Principles of Statistics, but takes a more applied perspective.
  14. Cross-screening in observational studies that test many hypotheses |…

    https://www.statslab.cam.ac.uk/~qz280/publication/cross-screening/
    3 Jun 2024: Search. Cross-screening in observational studies that test many hypotheses. Qingyuan Zhao, Dylan Small, Paul Rosenbaum. March 2017Abstract. This paper proposes a new method called ‘cross-screening’ to increase the power of sensitivity analysis
  15. 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.
  16. Bhaswar Bhattarcharya | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/bhaswar-bhattarcharya/
    3 Jun 2024: Search. Bhaswar Bhattarcharya. Latest. Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap. 2024. Powered by the Academic theme forCite.
  17. The randomization principle in causal inference: A modern look at…

    https://www.statslab.cam.ac.uk/~qz280/talk/imperial-2022/
    3 Jun 2024: Search. The randomization principle in causal inference: A modern look at some old ideas. Abstract. Randomization is a fundamental principle in causal inference and was first proposed by R A Fisher about a century ago. Although randomization has now
  18. 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
  19. Rachael Hughes | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/rachael-hughes/
    3 Jun 2024: Search. Rachael Hughes. Latest. 2024. Powered by the Academic theme forCite.
  20. Paul Rosenbaum | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/paul-rosenbaum/
    3 Jun 2024: Search. Paul Rosenbaum. Latest. Cross-screening in observational studies that test many hypotheses. 2024. Powered by the Academic theme forCite.
  21. Hyunseung Kang | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/hyunseung-kang/
    3 Jun 2024: Search. Hyunseung Kang. Latest. 2024. Powered by the Academic theme forCite.

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