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  2. Using sparsity to overcome unmeasured confounding | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/iscb-2020/
    22 Jul 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
  3. Randomization | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/randomization/
    22 Jul 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
  4. Confounder selection via iterative graph expansion | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/lse-2024/
    22 Jul 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. BETS: The dangers of selection bias in early analyses of the…

    https://www.statslab.cam.ac.uk/~qz280/talk/osu-2020/
    22 Jul 2024: Search. BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic. Date. 2020-09-24. Event. OSU Statistics Seminar. Location. Department of Statistics, Ohio State University. 2024. Powered by the Academic
  6. Discussion on 'Causal Inference in Genetic Trio Studies' |…

    https://www.statslab.cam.ac.uk/~qz280/talk/ocis-2021/
    22 Jul 2024: Search. Discussion on 'Causal Inference in Genetic Trio Studies'. Date. 2021-01-26. Online Causal Inference Seminar. Location. Online Causal Inference Seminar (Zoom meeting). 2024. Powered by the Academic theme forCite.
  7. Leverage Mendelian Randomization to Learn Meaningful Representations…

    https://www.statslab.cam.ac.uk/~qz280/talk/lmrl-2021/
    22 Jul 2024: Search. Leverage Mendelian Randomization to Learn Meaningful Representations (LMR2). Date. 2021-12-14 5:30 PM — 6:00 PM. Learn Meaningful Representations of Life (NeurIPS workshop). Location. LMRL NeurIPS workshop. 2024. Powered by the Academic
  8. Mendelian randomization: Old and new insights | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/penn-biostat-2021/
    22 Jul 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
  9. Almost exact Mendelian randomization | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/publication/almost-exact-mr/
    22 Jul 2024: Search. Almost exact Mendelian randomization. Matt Tudball, George Davey Smith, Qingyuan Zhao. August 2022Type. 2024. Powered by the Academic theme forCite.
  10. Macros for graph separations | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/post/graph-separation/
    22 Jul 2024: Search. Macros for graph separations. 2024-04-29 1 min read. In a recent paper by Richard Guo and me, we proposed a systematic way to select confounders by eliciting expert opinion. We invented some new notation to distinguish some different types
  11. Two High-Profile Examples of Selection Bias | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/uw-csss-2022/
    22 Jul 2024: Search. Two High-Profile Examples of Selection Bias. Abstract. This talk will examine the selection bias that occurred in studying some most contentious problems. In the first case study, we will look at the estimation of the growth rate and

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