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  2. Rachael Hughes | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/rachael-hughes/
    3 Jun 2024: Search. Rachael Hughes. Latest. 2024. Powered by the Academic theme forCite.

  3. Fun-Posts | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/fun-posts/
    3 Jun 2024: Search. Fun-Posts. Amusing counterfactual inference (by words). My good friend Joshua Loftus and I spent some 30 minutes to crack (at least we think we did!) a counterfactual inference made in a speech in the House of Commons in London in 1850 by

  4. https://infolib.blog.jbs.cam.ac.uk/author/andy-priestner/feed/

    https://infolib.blog.jbs.cam.ac.uk/author/andy-priestner/feed/
    25 Jun 2024: a rel="noreferrer noopener" href="https://infolib.blog.jbs.cam.ac.uk/wp-content/uploads/2014/03/LinkedInFAQ.pdf" target="_blank"Download a handy PDF version/a./p ... Services annual report which summarises our activities and usage over the past academic

  5. Confounder adjustment in multiple hypothesis testing | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/publication/cate/
    3 Jun 2024: Search. Confounder adjustment in multiple hypothesis testing. Jingshu Wang, Qingyuan Zhao, Trevor Hastie, Art Owen. August 2015Abstract. Confounding introduces hidden bias to the statistical inference. We show in modern simultaneous testing, it is

  6. Publications | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/publication/
    3 Jun 2024: Search. Publications. Type. Uncategorized. Conference paper. Journal article. Preprint. Date. 2024. 2023. 2022. 2021. 2020. 2019. 2018. 2017. 2016. 2015. Tobias Freidling, Qingyuan Zhao, Zijun Gao (2024). Zixuan Wu, Ethan Lewis, Qingyuan Zhao,

  7. Using sparsity to overcome unmeasured confounding: Two examples |…

    https://www.statslab.cam.ac.uk/~qz280/talk/mrc-bsu-2019/
    3 Jun 2024: Search. Using sparsity to overcome unmeasured confounding: Two examples. Abstract. Sparsity is often used to improve the interpretability of a statistical analysis and/or reduce the variance of a statistical estimator. This talk will explore another

  8. Reliable Inference for Precision Medicine | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/jsm-2021/
    3 Jun 2024: Search. Reliable Inference for Precision Medicine. Abstract. Two central objectives of individualized treatment are precision and optimality. A third objective is robustness, and this talk aims to explore what could happen if we account for

  9. Confounder selection via iterative graph expansion | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/pcic-2023/
    3 Jun 2024: Search. Confounder selection via iterative graph expansion. Date. 2023-09-17 12:00 AM — 12:00 AM. Pacific Causal Inference Conference. Location. Peking University, China. 2024. Powered by the Academic theme forCite.

  10. Simultaneous Hypothesis Testing Using Internal Negative Controls with …

    https://www.statslab.cam.ac.uk/~qz280/publication/ranc/
    3 Jun 2024: Search. Simultaneous Hypothesis Testing Using Internal Negative Controls with An Application to Proteomics. Zijun Gao, Qingyuan Zhao. March 2023Abstract. Negative control is a common technique in scientific investigations and broadly refers to the

  11. Ashkan Ertefaie | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/ashkan-ertefaie/
    3 Jun 2024: Search. Ashkan Ertefaie. Latest. Selective inference for effect modification via the lasso. 2024. Powered by the Academic theme forCite.

  12. The Churchill Papers - Churchill Archives Centre

    https://archives.chu.cam.ac.uk/collections/churchill-papers/
    Thumbnail for The Churchill Papers - Churchill Archives Centre 3 May 2024: Researchers can download images of documents directly from churchillarchive.com and so are encouraged to consider bringing a laptop or other device for this purpose.

  13. Causal inference for heritable phenotypic risk factors using…

    https://www.statslab.cam.ac.uk/~qz280/publication/mr-grapple/
    3 Jun 2024: Search. Causal inference for heritable phenotypic risk factors using heterogeneous genetic instruments. Jingshu Wang, Qingyuan Zhao, Jack Bowden, Gibran Hemani, George Davey Smith, Dylan Small, Nancy Zhang. May 2020Abstract. We greatly improve the

  14. Multiple Testing | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/multiple-testing/
    3 Jun 2024: Search. Multiple Testing. A constructive approach to selective risk control. Many modern applications require the use of data to both select the statistical tasks and make valid inference after selection. In this article, we provide a unifying

  15. Art Owen | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/art-owen/
    3 Jun 2024: Search. Art Owen. Latest. Confounder adjustment in multiple hypothesis testing. 2024. Powered by the Academic theme forCite.

  16. Causal Inference with Observational Data: Common Designs and…

    https://www.statslab.cam.ac.uk/~qz280/teaching/siscer-2023/
    3 Jun 2024: Search. Causal Inference with Observational Data: Common Designs and Statistical Methods (2023). Course description. Observational studies are non-interventional empirical investigations of causal effects and are playing an increasingly vital role

  17. Discovering mechanistic heterogeneity using Mendelian randomization | …

    https://www.statslab.cam.ac.uk/~qz280/talk/pcic-2020/
    3 Jun 2024: Search. Discovering mechanistic heterogeneity using Mendelian randomization. Abstract. Mendelian Randomization (MR) is a popular method in epidemiology and genetics that uses genetic variation as instrumental variables for causal inference. Existing

  18. https://infolib.blog.jbs.cam.ac.uk/tag/plagiarism/feed/

    https://infolib.blog.jbs.cam.ac.uk/tag/plagiarism/feed/
    25 Jun 2024: MeetingBurner/a/h3 pMeetingBurner instantly makes webinars with the click of a button without needing to download any software (you must have Flash though). ... send an email copy of it./p h3 class="wp-block-heading"a href="http://app.prntscr.com/download

  19. Randomization | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/randomization/
    3 Jun 2024: Search. Randomization. Selective Randomization Inference for Adaptive Experiments. We apply ideas from post-selection inference to randomization tests for adaptive experiments. Discussion on (quasi-)randomization inference. The following is an email

  20. Using sparsity to overcome unmeasured confounding | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/iscb-2020/
    3 Jun 2024: Search. Using sparsity to overcome unmeasured confounding. Abstract. Sparsity is often used to improve the interpretability of a statistical analysis and/or reduce the variance of a statistical estimator. This talk will explore another aspect—the

  21. Tobias Freidling | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/tobias-freidling/
    3 Jun 2024: Search. Tobias Freidling. Latest. 2024. Powered by the Academic theme forCite.

  22. Estimation and prediction in sparse and unbalanced tables | Qingyuan…

    https://www.statslab.cam.ac.uk/~qz280/publication/hanova/
    3 Jun 2024: Search. Estimation and prediction in sparse and unbalanced tables. Qingyuan Zhao, Trevor Hastie, Daryl Pregibon. March 2017Abstract. When there is a multi-way table where each dimension has large number of levels, it is computationally intensive to

  23. F Richard Guo | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/f-richard-guo/
    3 Jun 2024: Search. F Richard Guo. Latest. 2024. Powered by the Academic theme forCite.

  24. Sergio Bacallado | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/sergio-bacallado/
    3 Jun 2024: Search. Sergio Bacallado. Latest. 2024. Powered by the Academic theme forCite.

  25. https://infolib.blog.jbs.cam.ac.uk/tag/tracking/feed/

    https://infolib.blog.jbs.cam.ac.uk/tag/tracking/feed/
    25 Jun 2024: CJBS that would be Harvard)./li liThere is an extension for browsers (Firefox) that allows you to import articles easily./li liYou can download the app, but also log in via

  26. Going Out – The UCS

    https://ucs.clare.cam.ac.uk/current-students/going-out/
    13 Jun 2024: Then download and complete this form: Booking Request Form.

  27. Confounder selection via iterative graph expansion | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/publication/graph-expansion/
    3 Jun 2024: Search. Confounder selection via iterative graph expansion. F Richard Guo, Qingyuan Zhao. September 2023Abstract. Confounder selection, namely choosing a set of covariates to control for confounding between a treatment and an outcome, is arguably

  28. Amanda Ly | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/amanda-ly/
    3 Jun 2024: Search. Amanda Ly. Latest. Mendelian randomization with coarsened exposures. 2024. Powered by the Academic theme forCite.

  29. https://infolib.blog.jbs.cam.ac.uk/tag/interviews/feed/

    https://infolib.blog.jbs.cam.ac.uk/tag/interviews/feed/
    25 Jun 2024: Each summary tells you how long the article is, and you can download a selection of articles to read later by selecting the box next to each item./p div ... a rel="noreferrer noopener"

  30. Zixuan Wu | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/zixuan-wu/
    3 Jun 2024: Search. Zixuan Wu. Latest. Causal mediation analysis for time-varying heritable risk factors with Mendelian Randomization. 2024. Powered by the Academic theme forCite.

  31. Yanyao Yi | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/yanyao-yi/
    3 Jun 2024: Search. Yanyao Yi. Latest. Toward Better Practice of Covariate Adjustment in Analyzing Randomized Clinical Trials. 2024. Powered by the Academic theme forCite.

  32. Mendelian randomization: A tutorial | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/mr-tutorial/
    3 Jun 2024: Search. Mendelian randomization: A tutorial. Abstract. Tutorial talk for the theory, methods, and practice of Mendelian randomization. Date. 2019-07-12. Event. Causal Inference Summer Institute 2019. Location. Rutgers University, School of Public

  33. https://infolib.blog.jbs.cam.ac.uk/tag/linkedin/feed/

    https://infolib.blog.jbs.cam.ac.uk/tag/linkedin/feed/
    25 Jun 2024: a rel="noreferrer noopener" href="https://infolib.blog.jbs.cam.ac.uk/wp-content/uploads/2014/03/LinkedInFAQ.pdf" target="_blank"Download a handy PDF version/a./p

  34. Eleanor Sanderson | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/eleanor-sanderson/
    3 Jun 2024: Search. Eleanor Sanderson. Latest. Mendelian randomization. 2024. Powered by the Academic theme forCite.

  35. Chemists in the UK (by Department)

    https://www-jmg.ch.cam.ac.uk/data/c2k/people/StaffList/StaffList1129.html
    6 May 2024: university of cambridge. Chemists in the UK (by Department). Italy - Milano-Bicocca: Chemometrics and QSAR. Goodman Group, 2005-2024; privacy; last updated May 6, 2024.

  36. Simultaneous hypothesis testing using negative controls | Qingyuan…

    https://www.statslab.cam.ac.uk/~qz280/talk/upenn-2023/
    3 Jun 2024: Search. Simultaneous hypothesis testing using negative controls. Abstract. Negative control is a common technique in scientific investigations and broadly refers to the situation where a null effect (“negative result”) is expected. Motivated by

  37. Robert Tibshirani | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/robert-tibshirani/
    3 Jun 2024: Search. Robert Tibshirani. Latest. Comment on 'Causal inference using invariant prediction'. 2024. Powered by the Academic theme forCite.

  38. Fisher, Statistics, and Randomization | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/fisher-2022/
    3 Jun 2024: Search. Fisher, Statistics, and Randomization. Abstract. One of Fisher’s most important scientific contributions is the paradigm of randomized experiments. I will try to trace the origin of this idea and highlight how it is rooted in Fisher’s

  39. BETS: The dangers of selection bias in early analyses of the…

    https://www.statslab.cam.ac.uk/~qz280/talk/ghent-2021/
    3 Jun 2024: Search. BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic. Abstract. The coronavirus disease 2019 (COVID-19) has quickly grown from a regional outbreak in Wuhan, China to a global pandemic. Early

  40. Graphical diagnosis of confounding bias in instrumental variables…

    https://www.statslab.cam.ac.uk/~qz280/publication/iv-diagnosis/
    3 Jun 2024: Search. Graphical diagnosis of confounding bias in instrumental variables analysis. Qingyuan Zhao, Dylan Small. May 2018Abstract. This research letter proposes a new diagnostic plot for IV analysis, so large bias ratios (compared to OLS estimator)

  41. Study Design | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/study-design/
    3 Jun 2024: Search. Study Design. Quantifying and addressing the prevalence and bias of study designs in the environmental and social sciences. We reviewed the prevalence of different study designs in environmental and social sciences and introduced a novel

  42. Infectious-Diseases | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/infectious-diseases/
    3 Jun 2024: Search. Infectious-Diseases. To be read before The Royal Statistical Society at the Society's 2021 annual conference held in Manchester on Wednesday, September 8th, 2021, the President, Professor Sylvia Richardson, in the Chair. Letter to the editor:

  43. https://infolib.blog.jbs.cam.ac.uk/tag/news-databases-2/feed/

    https://infolib.blog.jbs.cam.ac.uk/tag/news-databases-2/feed/
    25 Jun 2024: To download a number of articles as a single PDF: pa href="http://proxy.jbs.cam.ac.uk/login?url=http://global.factiva.com/en/sess/login.asp?XSID=S00YXRl1XVoYXmnOHmnMpEvN9MnNDao5DByWcNGOTNHYdNZUUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUEA" target="

  44. Phyllis Ju | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/phyllis-ju/
    3 Jun 2024: Search. Phyllis Ju. Latest. BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic. 2024. Powered by the Academic theme forCite.

  45. Rajen Shah | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/rajen-shah/
    3 Jun 2024: Search. Rajen Shah. Latest. BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic. 2024. Powered by the Academic theme forCite.

  46. Resources for Mendelian randomization | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/post/mr-software/
    3 Jun 2024: Search. Resources for Mendelian randomization. 2019-08-01 1 min read. This page collects some useful resources for people interested in Mendelian randomization. Software. MR-RAPS. The statistical methods for univariate summary-data MR are

  47. William Sutherland | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/william-sutherland/
    3 Jun 2024: Search. William Sutherland. Latest. Quantifying and addressing the prevalence and bias of study designs in the environmental and social sciences. 2024. Powered by the Academic theme forCite.

  48. Murat A Erdogdu | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/murat-a-erdogdu/
    3 Jun 2024: Search. Murat A Erdogdu. Latest. SEISMIC: A self-exciting point process model for predicting tweet popularity. 2024. Powered by the Academic theme forCite.

  49. Qingyuan Zhao | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/qingyuan-zhao/
    3 Jun 2024: Search. Qingyuan Zhao. University Associate Professor in Statistics. I am a University Associate Professor of Statistics in the Statistical Laboratory, Department of Pure Mathematics and Mathematical Statistics (DPMMS) at University of Cambridge, a

  50. Rachel Kelz | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/rachel-kelz/
    3 Jun 2024: Search. Rachel Kelz. Latest. Falsification tests for instrumental variable designs with an application to tendency to operate. 2024. Powered by the Academic theme forCite.

  51. Sensitivity Analysis | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/sensitivity-analysis/
    3 Jun 2024: Search. Sensitivity Analysis. A new approach to sensitivity analysis in linear SEMs using stochastic optimization and the $R2$-calculus. Sensitivity analysis is widely recognized as a critical step in an observational study but is seldom found in

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