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3 Jun 2024: Search. Selective Inference. Selective Randomization Inference for Adaptive Experiments. We apply ideas from post-selection inference to randomization tests for adaptive experiments. A constructive approach to selective risk control. Many modern

3 Jun 2024: Search. Bayesian Statistics. Letter to the editor: Generation interval for COVID-19 based on symptom onset data. The purpose of this letter is to raise a few issues with the methodology of a recent paper by Ganyani et al. [1], which aimed to

3 Jun 2024: Search. C. Mary Schooling. Latest. Mendelian randomization. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Analysis of the epidemic growth of the early 2019-nCoV outbreak using internationally confirmed cases. Qingyuan Zhao, Yang Chen, Dylan Small. February 2020Abstract. We analyzed 46 2019-nCoV cases confirmed in Japan, Korea, Singapore, Taiwan,

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,

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

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

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.

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

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

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

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. 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

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

3 Jun 2024: Search. Comment: Will competition-winning methods for causal inference also succeed in practice? Qingyuan Zhao, Luke Keele, Dylan Small. November 2018Abstract. This is an invited commentary for Statistical Science on the causal inference data

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

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

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

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.