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Students | Qingyuan Zhao
https://www.statslab.cam.ac.uk/~qz280/students/3 Jun 2024: Search. Students. Postdocs. Katarzyna Reluga: 2020–2021. Zijun Gao: 2022-2023. Ph.D. students. Matt Tudball (co-supervision): 2018–2023. Tobias Freidling: 2020–. Joakim Blach Andersen: 2021–. Max Zhu: 2022–. Undergraduate students. Etaash -
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: -
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. -
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. -
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 -
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 -
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 -
Simultaneous hypothesis testing using negative controls | Qingyuan…
https://www.statslab.cam.ac.uk/~qz280/talk/upenn-2023/3 Jun 2024: Search. Simultaneous hypothesis testing using negative controls. Abstract. Negative control is a common technique in scientific investigations and broadly refers to the situation where a null effect (“negative result”) is expected. Motivated by -
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 -
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
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