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  2. Almost Exact Mendelian Randomization Qingyuan Zhao Statistical…

    www.statslab.cam.ac.uk/~qz280/talk/eurocim-2023/slides.pdf
    3 Jun 2024: Fisher’s combination test 0.21. Two-stage least squares 0.02. Qingyuan Zhao (Cambridge) Almost Exact MR April 20, 2023 24 / 26.
  3. Simultaneous Hypothesis Testing using Internal Negative Controls…

    www.statslab.cam.ac.uk/~qz280/publication/ranc/slides.pdf
    3 Jun 2024: The heuristic in Hung et al. (2014) corresponds to using λ = 1 or q = π, which is quitesensible!Qingyuan Zhao (Cambridge) Negative controls March 29 @ Penn 24 / 31.
  4. Towards Reliable Inference for Precision Medicine

    www.statslab.cam.ac.uk/~qz280/talk/jsm-2021/slides.pdf
    3 Jun 2024: 24/27. Objective 2 & 3. Selecting maximal ITRs. I Key observation: P(ri 6Γ rj is rejected |ri Rmax,Γ) α.I This motivates us to use all the “leaves” in ... S. Small, P. R. Rosenbaum, Journal of the American Statistical Association 113, 1070–1084
  5. Multiple conditional randomization tests

    www.statslab.cam.ac.uk/~qz280/talk/ims-2022/slides.pdf
    3 Jun 2024: Qingyuan Zhao (University of Cambridge) Multiple conditional randomization tests June 27, 2022 @ IMS Annual Meeting 24 / 26.
  6. Selective Inference for Effect Modification

    www.statslab.cam.ac.uk/~qz280/publication/effect-modification/slides.pdf
    3 Jun 2024: Department of Statistics, University of Pennsylvania. May 24, ACIC 2017. Manuscript and slides are available athttp://www-stat.wharton.upenn.edu/qyzhao/. ... Selectiveinference foreffectmodification. Numericalexamples. Future work. References. 24/28.
  7. How infectious was COVID-19 when it first circulated in Wuhan?

    www.statslab.cam.ac.uk/~qz280/talk/corpus-masterclass-2022/slides.pdf
    3 Jun 2024: 41 45 62Date 01-20 01-21 01-23 01-24 01-25 01-26 01-27 01-28 01-29 01-30 01-31Cases 198 258 425 495 572 618
  8. SISCER Module 12 Lecture 3: Sensitivity analysis

    www.statslab.cam.ac.uk/~qz280/teaching/siscer-2023/L3.pdf
    3 Jun 2024: 0 g. 1-14 g. 15-24 g. >25 g. Ratio Difference. Lung cancer 0.07 0.47 0.86 1.66 23.71 1.59Other cancer 2.04 2.01 ... Then. M(. Γ) R(Γ) M(Γ). 24 / 26. Motivating example: Smoking and lung cancer Sensitivity analysis for matching Other methods under NUCA
  9. Comment on “Causal inference using invariant prediction” Qingyuan…

    www.statslab.cam.ac.uk/~qz280/publication/invariant-prediction-comment/comment.pdf
    3 Jun 2024: This hybrid perspective becomes clear whencomparing the assumptions in Equation (4) to (24), (28) or (31).
  10. Mendelian randomization

    www.statslab.cam.ac.uk/~qz280/talk/mr-tutorial/slides.pdf
    3 Jun 2024: β̂IVW = Mean(β̂j,weights =1/σ2j ). 2. Weighted median:. β̂WMED = Median(β̂j,weights =1/σ2j ). 3. MR-Egger regression:. β̂Egger = lm(Γ̂j γ̂j,weights =1/σ2j ). 24/40. Weak instrument biasI
  11. www.statslab.cam.ac.uk/~qz280/author/alec-christie/index.xml

    www.statslab.cam.ac.uk/~qz280/author/alec-christie/index.xml
    3 Jun 2024: 24:49 0000 https://www.statslab.cam.ac.uk/qz280/images/icon_hu6351ee64df48d2892d6749f985b342fb_222017_512x512_fill_lanczos_center_3.png Alec Christie ... 2020 10:24:49 0000 https://www.statslab.cam.ac.uk/qz280/publication/design-bias-conservation/.

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