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  2. The cycle of statistical research | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/ccimi-2020/
    3 Jun 2024: Search. The cycle of statistical research. Abstract. More than fifty years ago, John Tukey first envisioned a field we now call “Data Science” (he called it “Data Analysis”) to replace academic statistics. George Box, who famously said

  3. Gibran Hemani | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/gibran-hemani/
    3 Jun 2024: Search. Gibran Hemani. Latest. 2024. Powered by the Academic theme forCite.

  4. Trevor Hastie | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/trevor-hastie/
    3 Jun 2024: Search. Trevor Hastie. Latest. 2024. Powered by the Academic theme forCite.

  5. A latent mixture model for heterogeneous causal mechanisms in…

    https://www.statslab.cam.ac.uk/~qz280/publication/mr-path/
    3 Jun 2024: Search. A latent mixture model for heterogeneous causal mechanisms in Mendelian randomization. Daniel Iong, Qingyuan Zhao, Yang Chen. July 2020Scatterplot of BMI-T2D data with MC-EM parameter estimates. Abstract. Mendelian Randomization (MR) is a

  6. Etaash Katiyar | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/etaash-katiyar/
    3 Jun 2024: Search. Etaash Katiyar. Latest. On testing mean proportionality of multivariate normal variables. 2024. Powered by the Academic theme forCite.

  7. Daryl Pregibon | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/daryl-pregibon/
    3 Jun 2024: Search. Daryl Pregibon. Latest. Estimation and prediction in sparse and unbalanced tables. 2024. Powered by the Academic theme forCite.

  8. Paul Rosenbaum | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/paul-rosenbaum/
    3 Jun 2024: Search. Paul Rosenbaum. Latest. Cross-screening in observational studies that test many hypotheses. 2024. Powered by the Academic theme forCite.

  9. Jingshu Wang | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/jingshu-wang/
    3 Jun 2024: Search. Jingshu Wang. Latest. 2024. Powered by the Academic theme forCite.

  10. Marshall Joffe | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/marshall-joffe/
    3 Jun 2024: Search. Marshall Joffe. Latest. A note on post-treatment selection in studying racial discrimination in policing. 2024. Powered by the Academic theme forCite.

  11. 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.

  12. 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

  13. Hyunseung Kang | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/hyunseung-kang/
    3 Jun 2024: Search. Hyunseung Kang. Latest. 2024. Powered by the Academic theme forCite.

  14. Factor Analysis | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/factor-analysis/
    3 Jun 2024: Search. Factor Analysis. Performance evaluation with latent factors. We use the Confounder Adjusted Testing and Estimating (CATE) proposed in our previous paper to estimate the abnormal return (aka 'alpha') of U.S. equity mutual funds. When funds

  15. ivmodel: An R package for inference and sensitivity analysis of…

    https://www.statslab.cam.ac.uk/~qz280/publication/iv-model/
    3 Jun 2024: Search. ivmodel: An R package for inference and sensitivity analysis of instrumental variables models with one endogenous variable. Hyunseung Kang, Yang Jiang, Qingyuan Zhao, Dylan Small. February 2020Abstract. Vignette of an R package for

  16. Machine Learning | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/machine-learning/
    3 Jun 2024: Search. Machine Learning. Comment: Will competition-winning methods for causal inference also succeed in practice?. This is an invited commentary for Statistical Science on the causal inference data competition in ACIC 2016. Causal interpretations

  17. Social Sciences | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/social-sciences/
    3 Jun 2024: Search. Social Sciences. Performance evaluation with latent factors. We use the Confounder Adjusted Testing and Estimating (CATE) proposed in our previous paper to estimate the abnormal return (aka 'alpha') of U.S. equity mutual funds. When funds

  18. 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.

  19. Daniel Percival | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/daniel-percival/
    3 Jun 2024: Search. Daniel Percival. Latest. Entropy balancing is doubly robust. 2024. Powered by the Academic theme forCite.

  20. Statistical inference in two-sample summary-data Mendelian…

    https://www.statslab.cam.ac.uk/~qz280/publication/mr-raps/
    3 Jun 2024: Search. Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score. Qingyuan Zhao, Jingshu Wang, Gibran Hemani, Jack Bowden, Dylan Small. January 2018Abstract. We provide a comprehensive theoretical

  21. Matthew Tudball | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/matthew-tudball/
    3 Jun 2024: Search. Matthew Tudball. Latest. Sample-constrained partial identification with application to selection bias. 2024. Powered by the Academic theme forCite.

  22. Anand Rajaraman | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/anand-rajaraman/
    3 Jun 2024: Search. Anand Rajaraman. Latest. SEISMIC: A self-exciting point process model for predicting tweet popularity. 2024. Powered by the Academic theme forCite.

  23. 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

  24. 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

  25. Cosetta Minelli | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/cosetta-minelli/
    3 Jun 2024: Search. Cosetta Minelli. Latest. Improving the accuracy of two-sample summary data Mendelian randomization: moving beyond the NOME assumption. 2024. Powered by the Academic theme forCite.

  26. A Mendelian randomization study of the role of lipoprotein…

    https://www.statslab.cam.ac.uk/~qz280/publication/mr-lipids/
    3 Jun 2024: Search. A Mendelian randomization study of the role of lipoprotein subfractions in coronary artery disease. Qingyuan Zhao, Jingshu Wang, Zhen Miao, Nancy Zhang, Sean Hennessy, Dylan Small, Daniel Rader. July 2019Type. Publication. eLife. 2024.

  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. Cross-screening in observational studies that test many hypotheses |…

    https://www.statslab.cam.ac.uk/~qz280/publication/cross-screening/
    3 Jun 2024: Search. Cross-screening in observational studies that test many hypotheses. Qingyuan Zhao, Dylan Small, Paul Rosenbaum. March 2017Abstract. This paper proposes a new method called ‘cross-screening’ to increase the power of sensitivity analysis

  29. Anton Rask Lundborg | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/anton-rask-lundborg/
    3 Jun 2024: Search. Anton Rask Lundborg. Latest. Confounder selection: Objectives and approaches. 2024. Powered by the Academic theme forCite.

  30. George Davey Smith | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/george-davey-smith/
    3 Jun 2024: Search. George Davey Smith. Latest. 2024. Powered by the Academic theme forCite.

  31. M. Maria Glymour | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/m.-maria-glymour/
    3 Jun 2024: Search. M. Maria Glymour. Latest. Mendelian randomization. 2024. Powered by the Academic theme forCite.

  32. Marcus R. Munafò | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/marcus-r.-munafo/
    3 Jun 2024: Search. Marcus R. Munafò. Latest. Mendelian randomization. 2024. Powered by the Academic theme forCite.

  33. Freedman | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/freedman/
    3 Jun 2024: Search. Freedman. Discussion on (quasi-)randomization inference. The following is an email exchange with Hyunseung Kang on the nature of randomization inference. This was sparked by a couple of papers by David Freedman and David Lane: A

  34. | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/featured/
    3 Jun 2024: Search. Featured Publications. 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 …. Zijun Gao, Wenjie Hu,

  35. Bootstrapping sensitivity analysis | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/jsm-2020/
    3 Jun 2024: Search. Bootstrapping sensitivity analysis. Date. 2020-08-03. Event. JSM 2020. Location. JSM 2020 (Virtual). 2024. Powered by the Academic theme forCite.

  36. Multiple conditional randomization tests | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/ims-2022/
    3 Jun 2024: Search. Multiple conditional randomization tests. Date. 2022-06-27 5:10 PM — 5:30 PM. Location. London. 2024. Powered by the Academic theme forCite.

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

    https://www.statslab.cam.ac.uk/~qz280/talk/yale-biostats-2020/
    3 Jun 2024: Search. BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic. Date. 2020-05-05. Event. Yale Biostatistics Seminar. Location. Department of Biostatistics, Yale University. 2024. Powered by the Academic

  38. The statistics of summary-data Mendelian randomization | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/mr-conference-2019/
    3 Jun 2024: Search. The statistics of summary-data Mendelian randomization. Abstract. Invited talk giving an overview of my research on summary-data Mendelian randomization. Date. 2019-07-17. Event. Mendelian Randomization Conference, 2019. Location. MRC

  39. Mendelian randomization | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/publication/mr-primer/
    3 Jun 2024: Search. Mendelian randomization. Eleanor Sanderson, M. Maria Glymour, Michael V. Holmes, Hyunseung Kang, Jean Morrison, Marcus R. Munafò, Tom Palmer, C. Mary Schooling, Chris Wallace, Qingyuan Zhao, George Davey Smith. February 2022Abstract.

  40. Covariate balancing propensity score by tailored loss functions |…

    https://www.statslab.cam.ac.uk/~qz280/publication/balancing-loss/
    3 Jun 2024: Search. Covariate balancing propensity score by tailored loss functions. January 2016Abstract. This paper extends the dual interpretation of entropy balancing to general situations and proposes a tailored loss function. Minimizing this loss function

  41. Bhaswar Bhattarcharya | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/bhaswar-bhattarcharya/
    3 Jun 2024: Search. Bhaswar Bhattarcharya. Latest. Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap. 2024. Powered by the Academic theme forCite.

  42. Chin Yang Shapland | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/chin-yang-shapland/
    3 Jun 2024: Search. Chin Yang Shapland. Latest. Profile-likelihood Bayesian model averaging for two-sample summary data Mendelian randomization in the presence of horizontal pleiotropy. 2024. Powered by the Academic theme forCite.

  43. Multiple conditional randomization tests | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/publication/multiple-crts/
    3 Jun 2024: Search. Multiple conditional randomization tests. Yao Zhang, Qingyuan Zhao. April 2021Abstract. We propose a general framework for (multiple) conditional randomization tests that incorporate several important ideas in the recent literature. We

  44. Selective Inference | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/selective-inference/
    3 Jun 2024: Search. Selective Inference. Selective Randomization Inference for Adaptive Experiments. We apply ideas from post-selection inference to randomization tests for adaptive experiments. A constructive approach to selective risk control. Many modern

  45. Bayesian Statistics | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/bayesian-statistics/
    3 Jun 2024: Search. Bayesian Statistics. Letter to the editor: Generation interval for COVID-19 based on symptom onset data. The purpose of this letter is to raise a few issues with the methodology of a recent paper by Ganyani et al. [1], which aimed to

  46. 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:

  47. C. Mary Schooling | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/c.-mary-schooling/
    3 Jun 2024: Search. C. Mary Schooling. Latest. Mendelian randomization. 2024. Powered by the Academic theme forCite.

  48. Michael V. Holmes | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/michael-v.-holmes/
    3 Jun 2024: Search. Michael V. Holmes. Latest. Mendelian randomization. 2024. Powered by the Academic theme forCite.

  49. Causal Inference (Part III, Michaelmas 2023) | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/teaching/causal-2023/
    3 Jun 2024: Search. Causal Inference (Part III, Michaelmas 2023). 2023-10-05. This is a 16-lecture course on causal inference, the statistical science of drawing causal conclusions from experimental and non-experimental data. [Updated: <2023-11-23 Thu>].

  50. Analysis of the epidemic growth of the early 2019-nCoV outbreak using …

    https://www.statslab.cam.ac.uk/~qz280/publication/covid-19-feb/
    3 Jun 2024: Search. Analysis of the epidemic growth of the early 2019-nCoV outbreak using internationally confirmed cases. Qingyuan Zhao, Yang Chen, Dylan Small. February 2020Abstract. We analyzed 46 2019-nCoV cases confirmed in Japan, Korea, Singapore, Taiwan,

  51. A constructive approach to selective risk control | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/publication/selective-risk/
    3 Jun 2024: Search. A constructive approach to selective risk control. Zijun Gao, Wenjie Hu, Qingyuan Zhao. February 2024Abstract. Many modern applications require the use of data to both select the statistical tasks and make valid inference after selection. In

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