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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 -
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. -
Mendelian randomization: A tutorial | Qingyuan Zhao
https://www.statslab.cam.ac.uk/~qz280/talk/mr-tutorial/3 Jun 2024: Search. Mendelian randomization: A tutorial. Abstract. Tutorial talk for the theory, methods, and practice of Mendelian randomization. Date. 2019-07-12. Event. Causal Inference Summer Institute 2019. Location. Rutgers University, School of Public -
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 -
Tom Palmer | Qingyuan Zhao
https://www.statslab.cam.ac.uk/~qz280/author/tom-palmer/3 Jun 2024: Search. Tom Palmer. Latest. Mendelian randomization. 2024. Powered by the Academic theme forCite. -
Estimation and prediction in sparse and unbalanced tables | Qingyuan…
https://www.statslab.cam.ac.uk/~qz280/publication/hanova/3 Jun 2024: Search. Estimation and prediction in sparse and unbalanced tables. Qingyuan Zhao, Trevor Hastie, Daryl Pregibon. March 2017Abstract. When there is a multi-way table where each dimension has large number of levels, it is computationally intensive to -
Phyllis Ju | Qingyuan Zhao
https://www.statslab.cam.ac.uk/~qz280/author/phyllis-ju/3 Jun 2024: Search. Phyllis Ju. Latest. BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic. 2024. Powered by the Academic theme forCite. -
Rajen Shah | Qingyuan Zhao
https://www.statslab.cam.ac.uk/~qz280/author/rajen-shah/3 Jun 2024: Search. Rajen Shah. Latest. BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic. 2024. Powered by the Academic theme forCite. -
Yang Jiang | Qingyuan Zhao
https://www.statslab.cam.ac.uk/~qz280/author/yang-jiang/3 Jun 2024: Search. Yang Jiang. Latest. ivmodel: An R package for inference and sensitivity analysis of instrumental variables models with one endogenous variable. 2024. Powered by the Academic theme forCite. -
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 -
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. -
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>]. -
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. -
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. -
Reliable Inference for Precision Medicine | Qingyuan Zhao
https://www.statslab.cam.ac.uk/~qz280/talk/jsm-2021/3 Jun 2024: Search. Reliable Inference for Precision Medicine. Abstract. Two central objectives of individualized treatment are precision and optimality. A third objective is robustness, and this talk aims to explore what could happen if we account for -
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 -
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. -
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. -
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. -
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.
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