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  2. Mendelian randomization: Old and new insights | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/epfl-2021/
    3 Jun 2024: Search. Mendelian randomization: Old and new insights. Abstract. Mendelian randomization (MR) is a method for causal inference that utilizes the natural experiment in genetic inheritance. The idea of MR can be traced back to the dawn of modern

  3. Luke Keele | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/luke-keele/
    3 Jun 2024: Search. Luke Keele. Latest. 2024. Powered by the Academic theme forCite.

  4. Wes Spiller | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/wes-spiller/
    3 Jun 2024: Search. Wes Spiller. Latest. Two-sample instrumental variable analyses using heterogeneous samples. 2024. Powered by the Academic theme forCite.

  5. Kinjal Basu | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/kinjal-basu/
    3 Jun 2024: Search. Kinjal Basu. Latest. Permutation $p$-value approximation via generalized Stolarsky invariance. 2024. Powered by the Academic theme forCite.

  6. Ethan Lewis | Qingyuan Zhao

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

  7. Nianqiao Ju | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/nianqiao-ju/
    3 Jun 2024: Search. Nianqiao Ju. Latest. Letter to the editor: Generation interval for COVID-19 based on symptom onset data. 2024. Powered by the Academic theme forCite.

  8. Daniel Iong | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/daniel-iong/
    3 Jun 2024: Search. Daniel Iong. Latest. A latent mixture model for heterogeneous causal mechanisms in Mendelian randomization. 2024. Powered by the Academic theme forCite.

  9. 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.

  10. Macros for graph separations | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/post/graph-separation/
    3 Jun 2024: Search. Macros for graph separations. 2024-04-29 1 min read. In a recent paper by Richard Guo and me, we proposed a systematic way to select confounders by eliciting expert opinion. We invented some new notation to distinguish some different types

  11. Nancy Zhang | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/nancy-zhang/
    3 Jun 2024: Search. Nancy Zhang. Latest. 2024. Powered by the Academic theme forCite.

  12. 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

  13. What is a randomization test? | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/publication/single-crt/
    3 Jun 2024: Search. What is a randomization test? Yao Zhang, Qingyuan Zhao. March 2022Abstract. The meaning of randomization tests has become obscure in statistics education and practice over the last century. This article makes a fresh attempt at rectifying

  14. Negative Control | Qingyuan Zhao

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

  15. Selection Bias | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/selection-bias/
    3 Jun 2024: Search. Selection Bias. 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. A note on post-treatment

  16. Katarzyna Reluga | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/katarzyna-reluga/
    3 Jun 2024: Search. Katarzyna Reluga. Latest. A unified analysis of regression adjustment in randomized experiments. 2024. Powered by the Academic theme forCite.

  17. 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.

  18. 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.

  19. COVID-19 (project page) | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/project/covid-19/
    3 Jun 2024: Search. COVID-19 (project page). 2020-07-24. Publications. Small Data, Big Time—A retrospect of the first weeks of COVID-19. To be read before The Royal Statistical Society at the Society’s 2021 annual conference held in Manchester on Wednesday,

  20. Dylan Small | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/dylan-small/
    3 Jun 2024: Search. Dylan Small. Latest. 2024. Powered by the Academic theme forCite.

  21. 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.

  22. The randomization principle in causal inference: A modern look at…

    https://www.statslab.cam.ac.uk/~qz280/talk/imperial-2022/
    3 Jun 2024: Search. The randomization principle in causal inference: A modern look at some old ideas. Abstract. Randomization is a fundamental principle in causal inference and was first proposed by R A Fisher about a century ago. Although randomization has now

  23. Two High-Profile Examples of Selection Bias | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/uw-csss-2022/
    3 Jun 2024: Search. Two High-Profile Examples of Selection Bias. Abstract. This talk will examine the selection bias that occurred in studying some most contentious problems. In the first case study, we will look at the estimation of the growth rate and

  24. 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.

  25. Causal-Inference | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/causal-inference/
    3 Jun 2024: Search. Causal-Inference. Selective Randomization Inference for Adaptive Experiments. We apply ideas from post-selection inference to randomization tests for adaptive experiments. A new Bayesian full-information method for life-course Mendelian

  26. Snigdha Panigrahi | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/snigdha-panigrahi/
    3 Jun 2024: Search. Snigdha Panigrahi. Latest. Selective inference for effect modification: An empirical investigation. 2024. Powered by the Academic theme forCite.

  27. 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.

  28. Sensitivity Analysis with the $R^2$-calculus | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/publication/r2-calculus/
    3 Jun 2024: Search. Sensitivity Analysis with the $R2$-calculus. Tobias Freidling, Qingyuan Zhao. January 2023R$-sensitivity contours for the lower end of the estimated partially identified region. Abstract. Causal inference necessarily relies upon untestable

  29. Confounder Selection | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/confounder-selection/
    3 Jun 2024: Search. Confounder Selection. We propose a systematic way to select confounders. Confounder selection: Objectives and approaches. We provide a unified review of various confounder selection criteria in the literature and the assumptions behind them.

  30. 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

  31. 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.

  32. 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.

  33. MR Data Challenge 2019 | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/mr-raps-markdown/
    3 Jun 2024: Search. MR Data Challenge 2019. The role of lipoprotein subfractions in coronary artery disease. Abstract. This report entered the 2019 MR Data Challenge and contains reproducible R code for our analysis. Date. 2019-07-19. Event. Mendelian

  34. Randomization (project page) | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/project/randomization/
    3 Jun 2024: Search. Randomization (project page). 2022-04-22. A related page isRelated. Publications. Selective Randomization Inference for Adaptive Experiments. We apply ideas from post-selection inference to randomization tests for adaptive experiments.

  35. 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)

  36. Improving the accuracy of two-sample summary data Mendelian…

    https://www.statslab.cam.ac.uk/~qz280/publication/beyond-nome/
    3 Jun 2024: Search. Improving the accuracy of two-sample summary data Mendelian randomization: moving beyond the NOME assumption. Jack Bowden, Fabiola Del Greco M, Cosetta Minelli, Debbie Lawlor, Qingyuan Zhao, Nuala Sheehan, John Thompson, George Davey Smith.

  37. Randomized Experiment | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/randomized-experiment/
    3 Jun 2024: Search. Randomized Experiment. A unified analysis of regression adjustment in randomized experiments. Regression adjustment is broadly applied in randomized trials under the premise that it usually improves the precision of a treatment effect

  38. 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

  39. Effect Modification | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/effect-modification/
    3 Jun 2024: Search. Effect Modification. Selecting and ranking individualized treatment rules with unmeasured confounding. Optimal individualized treatment rules try to assign the best treatment to every individual, but it may be very sensitive to unmeasured

  40. Mendelian randomization: Old and new insights | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/penn-biostat-2021/
    3 Jun 2024: Search. Mendelian randomization: Old and new insights. Abstract. Mendelian randomization (MR) is a method for causal inference that utilizes the natural experiment in genetic inheritance. The idea of MR can be traced back to the dawn of modern

  41. Almost exact Mendelian randomization | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/publication/almost-exact-mr/
    3 Jun 2024: Search. Almost exact Mendelian randomization. Matt Tudball, George Davey Smith, Qingyuan Zhao. August 2022Type. 2024. Powered by the Academic theme forCite.

  42. Entropy balancing is doubly robust | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/publication/entropy-balancing/
    3 Jun 2024: Search. Entropy balancing is doubly robust. Qingyuan Zhao, Daniel Percival. January 2015Abstract. We show a recently proposed method called Entropy Balancing is doubly robust, that is the causal effect estimator is consistent if the propensity score

  43. Falsification tests for instrumental variable designs with an…

    https://www.statslab.cam.ac.uk/~qz280/publication/iv-falsification/
    3 Jun 2024: Search. Falsification tests for instrumental variable designs with an application to tendency to operate. Luke Keele, Qingyuan Zhao, Rachel Kelz, Dylan Small. August 2018Abstract. We propose a falsification test for the IV assumptions using

  44. Sensitivity analysis for inverse probability weighting estimators via …

    https://www.statslab.cam.ac.uk/~qz280/publication/sensitivity-ipw/
    3 Jun 2024: Search. Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap. Qingyuan Zhao, Dylan Small, Bhaswar Bhattarcharya. November 2017Abstract. Rosenbaum’s sensitivity analysis framework has several limitations: 1.

  45. Two-sample instrumental variable analyses using heterogeneous samples …

    https://www.statslab.cam.ac.uk/~qz280/publication/two-sample-iv/
    3 Jun 2024: Search. Two-sample instrumental variable analyses using heterogeneous samples. Qingyuan Zhao, Jingshu Wang, Wes Spiller, Jack Bowden, Dylan Small. August 2017Abstract. Many modern IV studies (especially Mendelian Randomization) are carried out with

  46. On sensitivity value of pair-matched observational studies | Qingyuan …

    https://www.statslab.cam.ac.uk/~qz280/publication/sensitivity-value/
    3 Jun 2024: Search. On sensitivity value of pair-matched observational studies. February 2017Abstract. A crucial quantity in Rosenbaum’s sensitivity analysis is the ‘sensitivity value’, the amount of unmeasured confounding needed to alter the qualitative

  47. Talks | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/
    3 Jun 2024: Search. Talks. 2024. Design: The Elusive Principle of Statistics. 2024-03-07 1:00 PM — 2:00 PM University of Oxford. 2024-02-13 2:00 PM — 3:00 PM University of East Anglia. 2024-02-08 2:00 PM — 3:00 PM London School of Economics and Political

  48. How infectious was COVID-19 when it first circulated in Wuhan? |…

    https://www.statslab.cam.ac.uk/~qz280/talk/corpus-masterclass-2022/
    3 Jun 2024: Search. How infectious was COVID-19 when it first circulated in Wuhan? Abstract. This is given to A-level students. Date. 2022-03-24 2:00 PM — 2:45 PM. Location. Corpus Christi College Masterclass in Mathematics. 2024. Powered by the Academic

  49. Statistical Modelling (Part II, Michaelmas 2022) | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/teaching/modelling-2022/
    3 Jun 2024: Search. Statistical Modelling (Part II, Michaelmas 2022). 2022-09-30. General information. This course consists of 16 lectures and 8 practical sessions. It complements the Part II Principles of Statistics, but takes a more applied perspective.

  50. 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

  51. 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

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