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  1. Results that match 1 of 2 words

  2. BETS: The dangers of selection bias in early analyses ...

    www.statslab.cam.ac.uk/~qz280/talk/yale-biostats-2020/slides.pdf
    3 Jun 2024: Initial Date of first medical visit 23-Jan 6.5% NA. Confirmed Date confirmed 24-Jan. ... Qingyuan Zhao (Stats Lab, Cambridge) BETS on COVID-19 May 5, 2020 24 / 53.
  3. 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
  4. Probability J.R. Norris January 22, 2024 1 Contents 1 ...

    www.statslab.cam.ac.uk/~james/Lectures/p.pdf
    22 Jan 2024: 24. Then µX has mass function given by. px = µX({x}) = P(X = x), x S.
  5. NON-SELF-TOUCHING PATHS IN PLANE GRAPHS GEOFFREY R. GRIMMETT…

    www.statslab.cam.ac.uk/~grg/papers/qt-matching7.pdf
    12 Feb 2024: NON-SELF-TOUCHING PATHS IN PLANE GRAPHS. GEOFFREY R. GRIMMETT. Abstract. A path in a graph G is called non-self-touching if two vertices areneighbours in the path if and only if they are neighbours in the graph. We in-vestigate the existence of
  6. PERCOLATION CRITICAL PROBABILITIESOF MATCHING LATTICE-PAIRS GEOFFREY…

    www.statslab.cam.ac.uk/~grg/papers/percprob-rsa6.pdf
    20 Feb 2024: The subpaths σiM of σ̂Mmay now be defined as above. 24 GEOFFREY R.
  7. 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.
  8. 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
  9. 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.
  10. 6 Nov 2023: E[|Y |1(|Y | λ)] E[|X|1(|Y | λ)] ε. Lemma 2.24. Let (Xn)n,X L1 and Xn X as n a.s. ... 24. 2.9 Applications of martingales. Theorem 2.32. [Kolmogorov’s 0-1 law] Let (Xi)i1 be a sequence of i.i.d.
  11. Mathematics of Machine LearningRajen D. Shah…

    www.statslab.cam.ac.uk/~rds37/teaching/machine_learning/notes.pdf
    12 Mar 2024: 1 t)vm1 conv S. 24. Lemma 13. Let S Rd.

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