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  2. Team | Monserrat Lab

    www.tcm.phy.cam.ac.uk/~bm418/team.html
    29 Apr 2024: Prof. Dangqi Fang. 2019-20. Spin-orbit coupling. Xi'an Jiaotong University, Xi'an, China. ... Zuzhang Lin. 2019-20. Optoelectronics. PhD student at Tsinghua University, Beijing, China.
  3. SISCER Module 15 Practice 2: Matching/Weighting and Sensitivity…

    www.statslab.cam.ac.uk/~qz280/teaching/siscer-2023/S2.pdf
    29 Apr 2024: income.poverty.ratio (mean (SD)) "2.36 (1.29)" "2.20 (1.51)"## age.at.interview (mean (SD)) "61.73 (8.75)" "61.69 (8.79)"## race (%) "73 (15.7)" "96 ... Loaded gam 1.20.2. 12. ## #### ## CausalGAM Package. ## ## Copyright (C) 2009 Adam Glynn and Kevin
  4. Practical: Randomization inference

    www.statslab.cam.ac.uk/~qz280/teaching/siscer-2023/S1.pdf
    29 Apr 2024: 1:2) {. hist(T_random[m, ], 20,main = paste0("Randomization distribution (model ", m, "): ",. "p-value = ", signif(mean(T_random[m, ] >= T_obs[m]), 2)),xlab = "Test statistic", xlim = range(T_random)).
  5. Practical: Matching/Weighting and Sensitivity Analysis

    www.statslab.cam.ac.uk/~qz280/teaching/siscer-2023/P4.pdf
    29 Apr 2024: 4. (Bonus) Using the results from the dynamic TWFE model to make an event plot similar to Page 20 ofLecture 6.
  6. Practical: Randomization inference

    www.statslab.cam.ac.uk/~qz280/teaching/siscer-2023/P1.pdf
    29 Apr 2024: 1:2) {. hist(T_random[m, ], 20,main = paste0("Randomization distribution (model ", m, "): ",. "p-value = ", signif(mean(T_random[m, ] >= T_obs[m]), 2)),xlab = "Test statistic", xlim = range(T_random)).
  7. SISCER Module 12 Lecture 6: Negative Controls and…

    www.statslab.cam.ac.uk/~qz280/teaching/siscer-2023/L6.pdf
    29 Apr 2024: Back to the EITC example (Dow et al., 2020). 20 / 20. ... 20 / 20. Review: causal inference in observational studies. Negative controls.
  8. SISCER Module 12 Lecture 3: Sensitivity analysis

    www.statslab.cam.ac.uk/~qz280/teaching/siscer-2023/L3.pdf
    29 Apr 2024: 1). 7. 20. = (0.31) 0.65 (0.5) 0.35= 0.37. X = 0 Outcome Y0 1 Total. ... 1. 20(. 13. 4 1 13. 9 5 7. 6 3 7 1). =
  9. SISCER Module 12 Lecture 2: Matching for Cohort Studies

    www.statslab.cam.ac.uk/~qz280/teaching/siscer-2023/L2.pdf
    29 Apr 2024: s21 /2 s20 /2, where s. 21 , s. 20 are respectively the sample. ... 20 / 29. Observational studies and causal inference Basics of matching Various issues and techniques in matching References.
  10. STATISTICAL MODELLING Part IIC, Michaelmas 2021Practical 7: Binomial…

    www.statslab.cam.ac.uk/~qz280/teaching/modelling-2022/P7.pdf
    29 Apr 2024: 3 1 Man United Swansea Home. The first row says that Arsenal scored 2 goals against Crystal Palace when Arsenal was playing at home.There are 20 teams in the Premier ... 20, based on our fitted model.Download the remaining fixtures from the course
  11. STATISTICAL MODELLING Part IIC, Michaelmas 2021Practical 5: ANOVA and …

    www.statslab.cam.ac.uk/~qz280/teaching/modelling-2022/P5.pdf
    29 Apr 2024: They then evaluated the quality of the essay. By means of a photo attachedto the essay, 20 students were led to believe that the writer was physically attractive and 20 that ... Within each of these three groups of 20 students, half read aversion of the

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