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41 - 50 of 242 search results for download |u:www.statslab.cam.ac.uk

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  2. COVID-19 (project page) | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/project/covid-19/
    3 Jun 2024: Search. COVID-19 (project page). 2020-07-24. Publications. Small Data, Big Time—A retrospect of the first weeks of COVID-19. To be read before The Royal Statistical Society at the Society’s 2021 annual conference held in Manchester on Wednesday,

  3. 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

  4. Sergio Bacallado | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/sergio-bacallado/
    3 Jun 2024: Search. Sergio Bacallado. Latest. 2024. Powered by the Academic theme forCite.

  5. The randomization principle in causal inference: A modern look at…

    https://www.statslab.cam.ac.uk/~qz280/talk/imperial-2022/
    3 Jun 2024: Search. The randomization principle in causal inference: A modern look at some old ideas. Abstract. Randomization is a fundamental principle in causal inference and was first proposed by R A Fisher about a century ago. Although randomization has now

  6. Two High-Profile Examples of Selection Bias | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/uw-csss-2022/
    3 Jun 2024: Search. Two High-Profile Examples of Selection Bias. Abstract. This talk will examine the selection bias that occurred in studying some most contentious problems. In the first case study, we will look at the estimation of the growth rate and

  7. Snigdha Panigrahi | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/snigdha-panigrahi/
    3 Jun 2024: Search. Snigdha Panigrahi. Latest. Selective inference for effect modification: An empirical investigation. 2024. Powered by the Academic theme forCite.

  8. Causal inference: An introduction | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/ssrmp-2020/
    3 Jun 2024: Search. Causal inference: An introduction. Abstract. Introduction to causal inference for social science PhD students. Date. 2020-03-04 2:00 PM — 4:00 PM. Event. Social Sciences Research Methods Programme (SSRMP). Location. University of

  9. Causal inference for heritable phenotypic risk factors using…

    https://www.statslab.cam.ac.uk/~qz280/publication/mr-grapple/
    3 Jun 2024: Search. Causal inference for heritable phenotypic risk factors using heterogeneous genetic instruments. Jingshu Wang, Qingyuan Zhao, Jack Bowden, Gibran Hemani, George Davey Smith, Dylan Small, Nancy Zhang. May 2020Abstract. We greatly improve the

  10. Confounder Selection | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/confounder-selection/
    3 Jun 2024: Search. Confounder Selection. We propose a systematic way to select confounders. Confounder selection: Objectives and approaches. We provide a unified review of various confounder selection criteria in the literature and the assumptions behind them.

  11. Estimation and prediction in sparse and unbalanced tables | Qingyuan…

    https://www.statslab.cam.ac.uk/~qz280/publication/hanova/
    3 Jun 2024: Search. Estimation and prediction in sparse and unbalanced tables. Qingyuan Zhao, Trevor Hastie, Daryl Pregibon. March 2017Abstract. When there is a multi-way table where each dimension has large number of levels, it is computationally intensive to

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