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  2. Design | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/design/
    3 Jun 2024: Search. Design. We provide a unified review of various confounder selection criteria in the literature and the assumptions behind them. 2024. Powered by the Academic theme forCite.
  3. Teaching | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/teaching/
    3 Jun 2024: Search. Teaching. Causal Inference (Part III, Michaelmas 2023). 16-lecture course on causal inference, the statistical science of drawing causal conclusions from experimental and non-experimental data. Causal Inference with Observational Data:
  4. 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.
  5. 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.
  6. 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
  7. 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
  8. 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
  9. The cycle of statistical research | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/ccimi-2020/
    3 Jun 2024: Search. The cycle of statistical research. Abstract. More than fifty years ago, John Tukey first envisioned a field we now call “Data Science” (he called it “Data Analysis”) to replace academic statistics. George Box, who famously said
  10. Probability

    www.statslab.cam.ac.uk/~rrw1/prob/index.html
    14 Jan 2015: Examples sheets. You should receive a supervision on each of the 4 examples sheets (which you can download from links at the right). ... Other resources and further reading. Charles Grinstead and Laurie Snell Introduction to Probability Second edition,
  11. 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

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