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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 -
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. -
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. -
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 -
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 -
Toward Better Practice of Covariate Adjustment in Analyzing…
https://www.statslab.cam.ac.uk/~qz280/publication/covariate-adjustment/3 Jun 2024: Search. Toward Better Practice of Covariate Adjustment in Analyzing Randomized Clinical Trials. Ting Ye, Jun Shao, Yanyao Yi, Qingyuan Zhao. September 2020Abstract. In randomized clinical trials, adjustments for baseline covariates at both design -
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 -
Causal Inference with Observational Data: Common Designs and…
https://www.statslab.cam.ac.uk/~qz280/teaching/siscer-2023/3 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 -
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. -
A note on post-treatment selection in studying racial discrimination…
https://www.statslab.cam.ac.uk/~qz280/publication/policing-risk-ratio/3 Jun 2024: Search. A note on post-treatment selection in studying racial discrimination in policing. Qingyuan Zhao, Luke Keele, Dylan Small, Marshall Joffe. September 2020Abstract. We discuss some causal estimands used to study racial discrimination in policing -
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 -
Comment on FDA draft guidance for industry FDA-2019-D-0934: Adjusting …
https://www.statslab.cam.ac.uk/~qz280/publication/fda-comment-2021/3 Jun 2024: Search. Comment on FDA draft guidance for industry FDA-2019-D-0934: Adjusting for covariates in randomized clinical trials for drugs and biological products. Jun Shao, Ting Ye, Qingyuan Zhao. July 2021Abstract. This is a unsolicited commentary on -
Mendelian randomization with coarsened exposures | Qingyuan Zhao
https://www.statslab.cam.ac.uk/~qz280/publication/mr-latent-exposure/3 Jun 2024: Search. Mendelian randomization with coarsened exposures. Matt Tudball, Jack Bowden, Rachael Hughes, Amanda Ly, Marcus Munafo, Kate Tilling, Qingyuan Zhao, George Davey Smith. August 2020Abstract. A key assumption in Mendelian randomisation is that -
Selective inference for effect modification via the lasso | Qingyuan…
https://www.statslab.cam.ac.uk/~qz280/publication/effect-modification/3 Jun 2024: Search. Selective inference for effect modification via the lasso. Qingyuan Zhao, Dylan Small, Ashkan Ertefaie. May 2017Abstract. We approach the heterogeneous treatment effect problem in a novel way. Instead of trying to obtain the optimal -
Exploratory Data Analysis | Qingyuan Zhao
https://www.statslab.cam.ac.uk/~qz280/tag/exploratory-data-analysis/3 Jun 2024: Search. Exploratory Data Analysis. PathGPS: Discover shared genetic architecture using biobank data. The increasing availability and scale of Genome Wide Association Studies (GWAS) bring new horizons for understanding biological mechanisms. PathGPS -
Selective inference for effect modification: An empirical…
https://www.statslab.cam.ac.uk/~qz280/publication/effect-modification-acic/3 Jun 2024: Search. Selective inference for effect modification: An empirical investigation. Qingyuan Zhao, Snigdha Panigrahi. September 2018Abstract. In a special workshop in ACIC 2018, we were invited to analyze a simulated dataset to detect treatment effect -
Performance evaluation with latent factors | Qingyuan Zhao
https://www.statslab.cam.ac.uk/~qz280/publication/cate-mutual-fund/3 Jun 2024: Search. Performance evaluation with latent factors. Yang Song, Qingyuan Zhao. August 2018Abstract. We use the Confounder Adjusted Testing and Estimating (CATE) proposed in our previous paper to estimate the abnormal return (aka ‘alpha’) of U.S. -
Selective Randomization Inference for Adaptive Experiments | Qingyuan …
https://www.statslab.cam.ac.uk/~qz280/publication/selective-randomization/3 Jun 2024: Search. Selective Randomization Inference for Adaptive Experiments. Tobias Freidling, Qingyuan Zhao, Zijun Gao. May 2024Abstract. Adaptive experiments use preliminary analyses of the data to inform further course of action and are commonly used in -
Randomization Inference | Qingyuan Zhao
https://www.statslab.cam.ac.uk/~qz280/tag/randomization-inference/3 Jun 2024: Search. Randomization Inference. Almost exact Mendelian randomization. By combining causal graphs and randomization inference, a formal justification for Mendelian randomization is given in the context of with-family studies. The randomization -
Freedman | Qingyuan Zhao
https://www.statslab.cam.ac.uk/~qz280/tag/freedman/3 Jun 2024: Search. Freedman. 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
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