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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. Machine Learning | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/machine-learning/
    3 Jun 2024: Search. Machine Learning. Comment: Will competition-winning methods for causal inference also succeed in practice?. This is an invited commentary for Statistical Science on the causal inference data competition in ACIC 2016. Causal interpretations
  5. Social Sciences | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/social-sciences/
    3 Jun 2024: Search. Social Sciences. Performance evaluation with latent factors. We use the Confounder Adjusted Testing and Estimating (CATE) proposed in our previous paper to estimate the abnormal return (aka 'alpha') of U.S. equity mutual funds. When funds
  6. 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
  7. ivmodel: An R package for inference and sensitivity analysis of…

    https://www.statslab.cam.ac.uk/~qz280/publication/iv-model/
    3 Jun 2024: Search. ivmodel: An R package for inference and sensitivity analysis of instrumental variables models with one endogenous variable. Hyunseung Kang, Yang Jiang, Qingyuan Zhao, Dylan Small. February 2020Abstract. Vignette of an R package for
  8. What is a randomization test? | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/toronto-2022/
    3 Jun 2024: Search. What is a randomization test? Date. 2022-03-23 2:00 PM — 3:00 PM. Event. Statistics Seminar. Location. University of Toronto. 2024. Powered by the Academic theme forCite.
  9. Mendelian randomization: Old and new insights | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/epfl-2021/
    3 Jun 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
  10. MR Data Challenge 2019 | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/mr-raps-markdown/
    3 Jun 2024: Search. MR Data Challenge 2019. The role of lipoprotein subfractions in coronary artery disease. Abstract. This report entered the 2019 MR Data Challenge and contains reproducible R code for our analysis. Date. 2019-07-19. Event. Mendelian
  11. Almost exact Mendelian randomization | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/eurocim-2023/
    3 Jun 2024: Search. Almost exact Mendelian randomization. Date. 2023-04-20 10:00 AM — 10:20 AM. European Causal Inference Meeting. Location. Oslo, Norway. 2024. Powered by the Academic theme forCite.

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