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Two high-profile examples of selection bias Qingyuan Zhao Statistical …
www.statslab.cam.ac.uk/~qz280/talk/uw-csss-2022/slides.pdf14 May 2024: Initial Date of first medical visit 23-Jan 6.5% NA. Confirmed Date confirmed 24-Jan. ... Qingyuan Zhao (Stats Lab, Cambridge) Two high-profile examples of selection bias May 11, 2022 24 / 29. -
Towards Reliable Inference for Precision Medicine
www.statslab.cam.ac.uk/~qz280/talk/jsm-2021/slides.pdf14 May 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 -
Multiple conditional randomization tests
www.statslab.cam.ac.uk/~qz280/talk/ims-2022/slides.pdf14 May 2024: Qingyuan Zhao (University of Cambridge) Multiple conditional randomization tests June 27, 2022 @ IMS Annual Meeting 24 / 26. -
45 Paper 1, Section I 7H StatisticsLet X1, . ...
www.statslab.cam.ac.uk/~lab85/resources/Stats2016.pdf28 Apr 2023: 22 χ. 23 χ. 24 χ. 25 χ. 26. 99% percentile 6.63 9.21 11.34 13.3 15.09 16.81.]. -
28 1/I/7C Statistics Let X1, . . . ,Xn ...
www.statslab.cam.ac.uk/~lab85/resources/Stats2007.pdf28 Apr 2023: Distribution χ21 χ22 χ. 23 χ. 24 t1 t2 t3 t4. -
CHURCHILL COLLEGE UNIVERSITY OF CAMBRIDGE ROLLO DAVIDSON TRUST Thomas …
www.statslab.cam.ac.uk/files/Rollo/Sprague_Announcement23.pdf26 Jun 2023: Ioannis Kontoyiannis. Chair, Rollo Davidson Trust. 24 June 2023. -
Tom Liggett, some brief reflections
www.statslab.cam.ac.uk/~grg/papers/tml-proof.pdf3 Sep 2020: 17. 18. 19. 20201/2. 21. 22. 23. 24. 25. 26. 27. ... 23. 24. 25. 26. 27. 28. 29. 30. 31. 32. 33. -
Selective Inference for Effect Modification
www.statslab.cam.ac.uk/~qz280/publication/effect-modification/slides.pdf14 May 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. -
SISCER Module 12 Lecture 3: Sensitivity analysis
www.statslab.cam.ac.uk/~qz280/teaching/siscer-2023/L3.pdf14 May 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 -
Mendelian randomization
www.statslab.cam.ac.uk/~qz280/talk/mr-tutorial/slides.pdf14 May 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
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