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  2. Discussion on (quasi-)randomization inference | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/post/randomization-hyunseung/
    22 Jul 2024: I personally think the Freedman and Lane’s example with “randomizing” gender makes the distinction between the classic randomization test and your quasi-randomization tests more clear than the example you ... Personally, I would define
  3. IV & MR (project page) | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/project/iv-mr/
    22 Jul 2024: July 2019 eLifeWe propose a falsification test for the IV assumptions using sub-populations of the data with overwhelming proportion of treated or …. Luke Keele, Qingyuan Zhao, Rachel Kelz, Dylan Small.
  4. A constructive approach to selective risk control | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/publication/selective-risk/
    22 Jul 2024: the null but also at other locations for free; (2) in the context of permutation tests, the BH procedure with exact permutation p-values can be well approximated by a procedure
  5. History of the Statistical Laboratory | Statistical Laboratory

    www.statslab.cam.ac.uk/history-statistical-laboratory
    27 Jul 2024: Search site. Statistical Laboratory. History of the Statistical Laboratory. A Realised Path. The Cambridge Statistical Laboratory upto 1993 (revised 2002). Contents. 1. 1947-55 Creation and confirmation. 1955-61 Disaster and diaspora. 1961-66 The
  6. Selective Inference | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/selective-inference/
    22 Jul 2024: We apply ideas from post-selection inference to randomization tests for adaptive experiments.
  7. Luke Keele | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/luke-keele/
    22 Jul 2024: Search. Luke Keele. Latest. 2024. Powered by the Academic theme forCite.
  8. The origin of randomization | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/post/randomization-origin/
    22 Jul 2024: to provide a basis for exact tests of significance and related interval estimates. {{% ... be applied to test the significance of the observed difference between the averages of plots treated differently.
  9. Permutation $p$-value approximation via generalized Stolarsky…

    https://www.statslab.cam.ac.uk/~qz280/publication/stolarsky/
    22 Jul 2024: March 2016Abstract. This paper uses a generalized Stolarsky’s invariance principle to approximate the permutation $p$-value for two-sample linear test statistics.
  10. On testing mean proportionality of multivariate normal variables |…

    https://www.statslab.cam.ac.uk/~qz280/publication/proportionality-testing/
    22 Jul 2024: We show that the usual likelihood ratio χ2-test is valid non-asymptotically. ... Our proof relies on expressing the test statistic as the minimum eigenvalue of a Wishart variable and using a representation of its distribution using Legendre polynomials.
  11. The randomization principle in causal inference: A modern look at…

    https://www.statslab.cam.ac.uk/~qz280/talk/imperial-2022/
    22 Jul 2024: In the first part, I will use the potential outcomes framework to define the conditional randomization test, distinguish it with related ideas, and discuss some recent applications.
  12. Sensitivity analysis for inverse probability weighting estimators via …

    https://www.statslab.cam.ac.uk/~qz280/publication/sensitivity-ipw/
    22 Jul 2024: It is mostly applicable to matched observational studies; 2. It only tests the sharp null hypothesis; 3.
  13. Selective Randomization Inference for Adaptive Experiments | Qingyuan …

    https://www.statslab.cam.ac.uk/~qz280/publication/selective-randomization/
    22 Jul 2024: In a nutshell, our approach applies conditional post-selection inference to randomization tests. ... Lastly, we demonstrate our method and compare it with other randomization tests using synthetic and real-world data.
  14. Paul Rosenbaum | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/paul-rosenbaum/
    22 Jul 2024: Cross-screening in observational studies that test many hypotheses.
  15. Multiple conditional randomization tests | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/berkeley-2021/
    22 Jul 2024: Search. Multiple conditional randomization tests. Date. 2021-09-29 9:30 PM — 10:30 PM.
  16. Causal-Inference | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/causal-inference/
    22 Jul 2024: We apply ideas from post-selection inference to randomization tests for adaptive experiments.
  17. What is a randomization test?

    www.statslab.cam.ac.uk/~qz280/talk/toronto-2022/slides.pdf
    22 Jul 2024: Quasi-randomization tests: Permute time step, hospital ward, and/or crossover order. Qingyuan Zhao (University of Cambridge) What is a randomization test? ... Permutation tests for treatment effect in randomized experiments. This generalizes Fisher’s
  18. 23 1/I/10H Statistics Use the generalized likelihood-ratio test to ...

    www.statslab.cam.ac.uk/~lab85/resources/Stats2004.pdf
    28 Apr 2023: You should explain carefully the assumptions underlyingthe test. 1/II/21H Statistics. State and prove the Rao–Blackwell Theorem. ... Find the best test of size α, 0 < α < 1, of the hypothesisH0 : θ = θ0 against H1 : θ = θ1, where θ1 > θ0.
  19. Multiple conditional randomization tests

    www.statslab.cam.ac.uk/~qz280/talk/berkeley-2021/slides.pdf
    22 Jul 2024: Slides: http://statslab.cam.ac.uk/qz280/. The role of randomization tests became obscure. Fisher (1935): To substitute t-test when normality is not true and to restore randomization as “thephysical ... Conditional randomization tests for discrete
  20. Sensitivity Analysis | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/sensitivity-analysis/
    22 Jul 2024: It only tests the sharp null hypothesis; 3. It assumes treatment effect homogeneity to obtain a confidence interval of …. 2024. Powered by the Academic theme forCite.
  21. Optimization IB 1998

    www.statslab.cam.ac.uk/~rrw1/opt1998/index.html
    31 Oct 2011: Read more about the amusingincluding an overview of optimization, case studies, test problems, and much, much more.

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