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41 - 50 of 78 search results for KaKaoTalk:ZA31 24 24 |u:www.statslab.cam.ac.uk where 0 match all words and 78 match some words.

  1. Results that match 2 of 3 words

  2. 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

  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. 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.

  5. www.statslab.cam.ac.uk/~qz280/publication/index.xml

    www.statslab.cam.ac.uk/~qz280/publication/index.xml
    3 Jun 2024: Fri, 11 Dec 2020 10:24:49 0000 https://www.statslab.cam.ac.uk/qz280/publication/design-bias-conservation/ Toward Better Practice of Covariate Adjustment in Analyzing Randomized Clinical Trials ... www.statslab.cam.ac.uk/qz280/publication/covariate-adjustm

  6. Design: The Elusive Principle of Statistics

    www.statslab.cam.ac.uk/~qz280/talk/oxford-2024/slides.pdf
    3 Jun 2024: Red (symptom onsets before January 24): 3.9 days (2.9–5.5). Original study: 6.4 days (5.8–7.1). ... Initial Date of first medical visit 23-Jan 6.5% NA. Confirmed Date confirmed 24-Jan.

  7. 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

  8. SISCER Module 12 Lecture 2: Matching for Cohort Studies

    www.statslab.cam.ac.uk/~qz280/teaching/siscer-2023/L2.pdf
    3 Jun 2024: multipleinference. 24 / 29. Observational studies and causal inference Basics of matching Various issues and techniques in matching References.

  9. Selecting and ranking individualized treatment rules with…

    www.statslab.cam.ac.uk/~qz280/talk/selective-inference-webinar-2021/slides.pdf
    3 Jun 2024: Take-home message: Precision medicine or Jenga? Qingyuan Zhao (Stats Lab, Cambridge) ITRs with unmeasured confounders January 14, 2021 24 / 25.

  10. Two-Sample Instrumental Variable Analysis: Challenges and Some…

    www.statslab.cam.ac.uk/~qz280/publication/two-sample-iv/slides.pdf
    3 Jun 2024: References. 24/42. Should we include very weak instruments? Theorem (Asymptotic normality).

  11. The Cycle of Statistical Research Qingyuan Zhao Statistical…

    www.statslab.cam.ac.uk/~qz280/talk/ccimi-2020/slides.pdf
    3 Jun 2024: Qingyuan Zhao (Stats Lab) The Cycle of Statistical Research CCIMI Seminar 24 / 48.

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