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3 Jun 2024: Search. Qingyuan Zhao. University Associate Professor in Statistics. About. I am a University Associate Professor of Statistics in the Statistical Laboratory, Department of Pure Mathematics and Mathematical Statistics (DPMMS) at University of

17 Oct 2014: Download it here (right click. save as). An executable program lp_solve that you can easily run on a PC under DOS to compute the solution to linear programming problems and

Papers to download. Activities. Editorial board, Springer Undergraduate Mathematics Series.

3 Jun 2024: Search. Useful links. Maths & Stats. Tripos papers sorted by course. Research in the CMS for undergraduate students. You and Your Research by Richard Hamming. Computing. R Packages: Organize, Test, Document, and Share Your Code by Hadley Wickham. A

18 Feb 2015: Page transitions will look better if you download the. pdf and read in Acrobat, rather then trying to view in your browser.

3 Jun 2024: Search. Students. Postdocs. Katarzyna Reluga: 2020–2021. Zijun Gao: 2022-2023. Ph.D. students. Matt Tudball (co-supervision): 2018–2023. Tobias Freidling: 2020–. Joakim Blach Andersen: 2021–. Max Zhu: 2022–. Undergraduate students. Etaash

14 Jan 2016: I may make some changes as the course proceeds. You can download a copy now, and take another copy once the course ends. ... You will have to download a copy of the pdf file.

3 Jun 2024: Search. Posts. Macros for graph separations. 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 of graph

23 Apr 2013: Charles Grinstead and Laurie Snell Introduction to Probability Second edition, 1997 (freely available to download). ... Peter Doyle and Laurie Snell Random walks and electric networks, 2006 (freely available to download.

3 Jun 2024: Search. Design. We provide a unified review of various confounder selection criteria in the literature and the assumptions behind them. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Authors. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Teaching. Causal Inference (Part III, Michaelmas 2023). 16-lecture course on causal inference, the statistical science of drawing causal conclusions from experimental and non-experimental data. Causal Inference with Observational Data:

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.

3 Jun 2024: Search. Multiple conditional randomization tests. Date. 2021-09-29 9:30 PM — 10:30 PM. Event. UC Berkeley Causal Inference Group. Location. UC Berkeley Causal Inference Group. 2024. Powered by the Academic theme forCite.

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

14 Jan 2015: Examples sheets. You should receive a supervision on each of the 4 examples sheets (which you can download from links at the right). ... Other resources and further reading. Charles Grinstead and Laurie Snell Introduction to Probability Second edition,

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

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

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 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

3 Jun 2024: Search. Confounder selection via iterative graph expansion. Date. 2024-02-08 2:00 PM — 3:00 PM. Event. Joint Econometrics and Statistics Seinar. Location. London School of Economics and Political Science (LSE). 2024. Powered by the Academic theme

3 Jun 2024: Search. BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic. Date. 2020-09-24. Event. OSU Statistics Seminar. Location. Department of Statistics, Ohio State University. 2024. Powered by the Academic

3 Jun 2024: Search. Discussion on 'Causal Inference in Genetic Trio Studies'. Date. 2021-01-26. Online Causal Inference Seminar. Location. Online Causal Inference Seminar (Zoom meeting). 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Leverage Mendelian Randomization to Learn Meaningful Representations (LMR2). Date. 2021-12-14 5:30 PM — 6:00 PM. Learn Meaningful Representations of Life (NeurIPS workshop). Location. LMRL NeurIPS workshop. 2024. Powered by the Academic

3 Jun 2024: Search. Philosophy. 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

3 Jun 2024: Search. Design: The Elusive Principle of Statistics. Date. 2024-03-07 1:00 PM — 2:00 PM. Location. University of Oxford. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Selection bias in 2020. Abstract. This talk will examine the selection bias that occurred in studying some most contentious problems in 2020. In the first case study, we will look at the estimation of the growth rate and incubation period of

3 Jun 2024: Search. What is a randomization test? Date. 2022-03-23 2:00 PM — 3:00 PM. Event. Statistics Seminar. Location. University of Toronto. 2024. Powered by the Academic theme forCite.

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

3 Jun 2024: Search. Almost exact Mendelian randomization. Date. 2023-04-20 10:00 AM — 10:20 AM. European Causal Inference Meeting. Location. Oslo, Norway. 2024. Powered by the Academic theme forCite.

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

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

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

3 Jun 2024: Search. Causal Graphs. We propose a systematic way to select confounders. Almost exact Mendelian randomization. By combining causal graphs and randomization inference, a formal justification for Mendelian randomization is given in the context of with

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 Jun 2024: Search. Almost exact Mendelian randomization. Matt Tudball, George Davey Smith, Qingyuan Zhao. August 2022Type. 2024. Powered by the Academic theme forCite.

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

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

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

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

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

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

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.

3 Jun 2024: Search. Causal mediation analysis for time-varying heritable risk factors with Mendelian Randomization. Zixuan Wu, Ethan Lewis, Qingyuan Zhao, Jingshu Wang. February 2024Abstract. Understanding the causal pathogenic mechanisms of diseases is crucial

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.

3 Jun 2024: Search. Seeking a summer research intern (EXPIRED). 2021-01-29 2 min read. I am posting a summer research project that may be suitable for Cambridge Part II students (or senior undergraduate students from other universities). Cambridge students can

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

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,

3 Jun 2024: Search. Confounder selection: Objectives and approaches. F Richard Guo, Anton Rask Lundborg, Qingyuan Zhao. August 2022Abstract. Confounder selection is perhaps the most important step in the design of observational studies. A number of criteria,

3 Jun 2024: Search. A crash course on causal inference. Date. 2022-09-07 1:00 PM — 2:00 PM. CCAIM Summer School (AI and Machine Learning in Healthcare). Location. CCAIM Summer School. 2024. Powered by the Academic theme forCite.