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  2. BETS: The dangers of selection bias in early analyses of the…

    https://www.statslab.cam.ac.uk/~qz280/talk/osu-2020/
    3 Jun 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
  3. www.statslab.cam.ac.uk/~qz280/post/index.xml

    www.statslab.cam.ac.uk/~qz280/post/index.xml
    3 Jun 2024: li> <li> <a href="https://core.ac.uk/download/pdf/208248069.pdf" target="_blank" rel="noopener">Models and statistical inference: The Fisher.
  4. Multiple conditional randomization tests | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/berkeley-2021/
    3 Jun 2024: Search. Multiple conditional randomization tests. Date. 2021-09-29 9:30 PM — 10:30 PM. Event. UC Berkeley Causal Inference Group. Location. UC Berkeley Causal Inference Group. 2024. Powered by the Academic theme forCite.
  5. 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
  6. BETS: The dangers of selection bias in early analyses of the…

    https://www.statslab.cam.ac.uk/~qz280/talk/yale-biostats-2020/
    3 Jun 2024: Search. BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic. Date. 2020-05-05. Event. Yale Biostatistics Seminar. Location. Department of Biostatistics, Yale University. 2024. Powered by the Academic
  7. 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
  8. 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
  9. Confounder selection via iterative graph expansion | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/publication/graph-expansion/
    3 Jun 2024: Search. Confounder selection via iterative graph expansion. F Richard Guo, Qingyuan Zhao. September 2023Abstract. Confounder selection, namely choosing a set of covariates to control for confounding between a treatment and an outcome, is arguably
  10. Discussion on 'Causal Inference in Genetic Trio Studies' |…

    https://www.statslab.cam.ac.uk/~qz280/talk/ocis-2021/
    3 Jun 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.
  11. MR Data Challenge 2019 — The role of lipoprotein subfractions in…

    www.statslab.cam.ac.uk/~qz280/talk/mr-raps-markdown/report.pdf
    3 Jun 2024: uk-biobank/CAD Nikpay 26343387 http://www.cardiogramplusc4d.org/data-downloads/CAD Nelson 28714975 http://www.cardiogramplusc4d.org/data-downloads/.

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