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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 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

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. 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. 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.

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. 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. 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>].

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

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. 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. 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

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. 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. 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. 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. 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. 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. 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.