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  2. www.statslab.cam.ac.uk/~qz280/teaching/index.xml

    www.statslab.cam.ac.uk/~qz280/teaching/index.xml
    3 Jun 2024: href="https://www.biostat.washington.edu/people/ting-ye" target="_blank" rel="noopener">Ting Ye</a>, <a href="https://www.statslab.cam.ac.uk/qz280/qz280">Qingyuan Zhao</a>.</li> ... Teaching assistant: <a
  3. www.statslab.cam.ac.uk/~qz280/tag/fun-posts/index.xml

    www.statslab.cam.ac.uk/~qz280/tag/fun-posts/index.xml
    3 Jun 2024: As many people know, the popularity of Mendelian randomization (MR) has been fast growing in the last few years.
  4. Resources for Mendelian randomization | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/post/mr-software/
    3 Jun 2024: This page collects some useful resources for people interested in Mendelian randomization.
  5. www.statslab.cam.ac.uk/~qz280/tag/instrumental-variables/index.xml

    www.statslab.cam.ac.uk/~qz280/tag/instrumental-variables/index.xml
    3 Jun 2024: https://www.statslab.cam.ac.uk/qz280/post/mr-software/ <p>This page collects some useful resources for people interested in Mendelian randomization.</p> <h2 id="software">Software</h2> <h3
  6. BETS: The dangers of selection bias in early analyses ...

    www.statslab.cam.ac.uk/~qz280/talk/ido-2021/slides.pdf
    3 Jun 2024: Wuhan-exposed population PIntuitively, P = All people who stayed in Wuhan between 12am December 1, 2019(time 0) and 12am January 24, 2020 (time L, the lockdown). ... We do not differentiate between people who stayed in Wuhan orwent to a different location
  7. www.statslab.cam.ac.uk/~qz280/tag/freedman/index.xml

    www.statslab.cam.ac.uk/~qz280/tag/freedman/index.xml
    3 Jun 2024: The discussion above seems to indicate that it is closer to Bayesian thinking/subjective probability, but interestingly most people who use it (not just Paul Rosenbaum, Lehmann-Romano, but also the ... people who do conformal inference for example) would
  8. BETS: The dangers of selection bias in early analyses ...

    www.statslab.cam.ac.uk/~qz280/talk/osu-2020/slides.pdf
    3 Jun 2024: Wuhan-exposed population PIntuitively, P = All people who stayed in Wuhan between 12am December 1, 2019(time 0) and 12am January 24, 2020 (time L, the lockdown). ... We do not differentiate between people who stayed in Wuhan orwent to a different location
  9. Confounder adjustment in large-scale linear structural models

    www.statslab.cam.ac.uk/~qz280/publication/cate-mutual-fund/slides.pdf
    3 Jun 2024: tj︸︷︷︸idiosyncratic risk. People have discovered many systematic risk factors Z over the years:I Market-average: this is the Capital Asset Pricing Model (CAPM).
  10. www.statslab.cam.ac.uk/~qz280/tag/mendelian-randomization/index.xml

    www.statslab.cam.ac.uk/~qz280/tag/mendelian-randomization/index.xml
    3 Jun 2024: As many people know, the popularity of Mendelian randomization (MR) has been fast growing in the last few years. ... collects some useful resources for people interested in Mendelian randomization.</p> <h2 id="software">Software</h2> <h3
  11. Effect Modification | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/effect-modification/
    3 Jun 2024: Optimal individualized treatment rules try to assign the best treatment to every individual, but it may be very sensitive to unmeasured confounding bias for groups of people exhibiting small treatment effect
  12. Machine Learning meets Biostatistics IIA crash course on Causal ...

    www.statslab.cam.ac.uk/~qz280/talk/ccaim-summer-school-2022/slides.pdf
    3 Jun 2024: But in the earlydays, many people find it difficult to accept.
  13. A fun model to explain the surging popularity of Mendelian…

    https://www.statslab.cam.ac.uk/~qz280/post/mr-vs-gwas-2021/
    3 Jun 2024: As many people know, the popularity of Mendelian randomization (MR) has been fast growing in the last few years.
  14. Sensitivity Analysis | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/sensitivity-analysis/
    3 Jun 2024: Optimal individualized treatment rules try to assign the best treatment to every individual, but it may be very sensitive to unmeasured confounding bias for groups of people exhibiting small treatment effect
  15. www.statslab.cam.ac.uk/~qz280/tag/workflow/index.xml

    www.statslab.cam.ac.uk/~qz280/tag/workflow/index.xml
    3 Jun 2024: md demo.md hero.md projects.md tags.md accomplishments.md experience.md index.md skills.md teaching.md contact.md featured.md people.md slider.md welcome.md </code></pre>
  16. Statistical Modeling: Returning to its roots | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/post/breiman-reprint-2021/
    3 Jun 2024: Causal inference was a niche research area (if not still a niche area now); at least very few people around me knew much about it. ... In the clinic, I have met many people who need help with statistical methodology.
  17. Selecting and ranking individualized treatment rules with unmeasured…

    https://www.statslab.cam.ac.uk/~qz280/publication/individualized-rule-sensitivity/
    3 Jun 2024: June 2019Abstract. Optimal individualized treatment rules try to assign the best treatment to every individual, but it may be very sensitive to unmeasured confounding bias for groups of people exhibiting small
  18. Migrating my website to Hugo + Academic + ox-hugo | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/post/migrating/
    3 Jun 2024: ls content/home. about.md demo.md hero.md projects.md tags.md accomplishments.md experience.md index.md skills.md teaching.md contact.md featured.md people.md slider.md
  19. BETS: The dangers of selection bias in early analyses ...

    www.statslab.cam.ac.uk/~qz280/talk/yale-biostats-2020/slides.pdf
    3 Jun 2024: Wuhan-exposed population PIntuitively, P = All people who stayed in Wuhan between 12am December 1, 2019(time 0) and 12am January 24, 2020 (time L, the lockdown). ... We do not differentiate between people who stayed in Wuhan orwent to a different location
  20. SISCER Module 12 Lecture 2: Matching for Cohort Studies

    www.statslab.cam.ac.uk/~qz280/teaching/siscer-2023/L2.pdf
    3 Jun 2024: In other words,. people who look comparable are comparable. This is called the no unmeasuredconfounders assumption (or strong ignorability, or conditional exchangeability).
  21. Mendelian randomization: From genetic association to epidemiological…

    www.statslab.cam.ac.uk/~qz280/publication/mr-partially-bayes/slides.pdf
    3 Jun 2024: β0?Genetic. association. Epidemiologicalcausation. 1/33. Motivation: Epidemiology of cardiovascular diseasesI Cardiovascular diseases take the lives of 17.7 million people every.

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