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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. Factor Analysis | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/factor-analysis/
    3 Jun 2024: Search. Factor Analysis. 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
  4. 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
  5. 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
  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. 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
  9. Matthew Tudball | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/matthew-tudball/
    3 Jun 2024: Search. Matthew Tudball. Latest. Sample-constrained partial identification with application to selection bias. 2024. Powered by the Academic theme forCite.
  10. Daniel Percival | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/daniel-percival/
    3 Jun 2024: Search. Daniel Percival. Latest. Entropy balancing is doubly robust. 2024. Powered by the Academic theme forCite.
  11. Cosetta Minelli | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/cosetta-minelli/
    3 Jun 2024: Search. Cosetta Minelli. Latest. Improving the accuracy of two-sample summary data Mendelian randomization: moving beyond the NOME assumption. 2024. Powered by the Academic theme forCite.

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