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A crash course on causal inference | Qingyuan Zhao
https://www.statslab.cam.ac.uk/~qz280/talk/ccaim-summer-school-2022/3 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. -
A fun model to explain the surging popularity of Mendelian…
https://www.statslab.cam.ac.uk/~qz280/post/mr-vs-gwas-2021/3 Jun 2024: Search. A fun model to explain the surging popularity of Mendelian randomization. 2021-03-23 2 min read. I was preparing for my talk in EPFL’s statistics seminar today and discovered an interesting model. As many people know, the popularity of -
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 -
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 -
Sensitivity analysis for observational studies | Qingyuan Zhao
https://www.statslab.cam.ac.uk/~qz280/talk/yale-biostats-2020-2/3 Jun 2024: Search. Sensitivity analysis for observational studies. Abstract. Sensitivity analysis is widely recognized as a critical step in an observational study but is seldom found in applications. One reason for its underuse is the various forms of model, -
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>]. -
IV & MR (project page) | Qingyuan Zhao
https://www.statslab.cam.ac.uk/~qz280/project/iv-mr/3 Jun 2024: Search. IV & MR (project page). 2019-07-18. Related. Publications. Causal mediation analysis for time-varying heritable risk factors with Mendelian Randomization. A new Bayesian full-information method for life-course Mendelian randomization. Zixuan -
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 -
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. -
Causal mediation analysis for time-varying heritable risk factors…
https://www.statslab.cam.ac.uk/~qz280/publication/mr-lifecourse/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
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