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  2. Sensitivity analysis for observational studies: past, present, and…

    https://www.statslab.cam.ac.uk/~qz280/talk/uea-2024/
    3 Jun 2024: Search. Sensitivity analysis for observational studies: past, present, and future. Date. 2024-02-13 2:00 PM — 3:00 PM. Location. University of East Anglia. 2024. Powered by the Academic theme forCite.

  3. 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

  4. 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

  5. Philosophy | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/philosophy/
    3 Jun 2024: Search. Philosophy. Discussion on (quasi-)randomization inference. The following is an email exchange with Hyunseung Kang on the nature of randomization inference. This was sparked by a couple of papers by David Freedman and David Lane: A

  6. 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.

  7. Confounder adjustment in multiple hypothesis testing | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/publication/cate/
    3 Jun 2024: Search. Confounder adjustment in multiple hypothesis testing. Jingshu Wang, Qingyuan Zhao, Trevor Hastie, Art Owen. August 2015Abstract. Confounding introduces hidden bias to the statistical inference. We show in modern simultaneous testing, it is

  8. Leverage Mendelian Randomization to Learn Meaningful Representations…

    https://www.statslab.cam.ac.uk/~qz280/talk/lmrl-2021/
    3 Jun 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

  9. Ting Ye | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/ting-ye/
    3 Jun 2024: Search. Ting Ye. Latest. 2024. Powered by the Academic theme forCite.

  10. College Complaints Procedure – The UCS

    https://ucs.clare.cam.ac.uk/welfare-and-liberation/complaints/
    13 Jun 2024: Menu. College Complaints Procedure.

  11. 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.

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