Featured Publications

BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic

We developed a generative model for key epidemiological events in COVID-19 patients and derived explicit formulae to correct for …
Qingyuan Zhao, Phyllis Ju, Sergio Bacallado, Rajen Shah
April 2020 Annals of Applied Statistics (2021)
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BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic

Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score

We provide a comprehensive theoretical basis for two-sample summary-data Mendelian randomization. We find that horizontal pleiotropy is …
Qingyuan Zhao, Jingshu Wang, Gibran Hemani, Jack Bowden, Dylan Small
January 2018 Annals of Statistics (2020)
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Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap

Rosenbaum’s sensitivity analysis framework has several limitations: 1. It is mostly applicable to matched observational studies; 2. It …
Qingyuan Zhao, Dylan Small, Bhaswar Bhattarcharya
November 2017 Journal of the Royal Statistical Society (Series B) (2019)
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Recent publications

Yao Zhang, Qingyuan Zhao (2021). Multiple conditional randomization tests.

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Qingyuan Zhao (2021). Small Data, Big Time—A retrospect of the first weeks of COVID-19. Journal of the Royal Statistical Society (Series A, Statistics in Society).

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Etaash Katiyar, Qingyuan Zhao (2021). On testing mean proportionality of multivariate normal variables.

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Alec Christie, ..., Qingyuan Zhao, William Sutherland (2020). Quantifying and addressing the prevalence and bias of study designs in the environmental and social sciences. Nature Communications.

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Ting Ye, Jun Shao, Qingyuan Zhao (2020). Principles for covariate adjustment in analyzing randomized clinical trials.

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Qingyuan Zhao, Luke Keele, Dylan Small, Marshall Joffe (2020). A note on post-treatment selection in studying racial discrimination in policing. American Political Science Review (in press).

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Matt Tudball, Jack Bowden, Rachael Hughes, Amanda Ly, Marcus Munafo, Kate Tilling, Qingyuan Zhao, George Davey Smith (2020). Mendelian randomization with coarsened exposures. Genetic Epidemiology (2021).

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Sergio Bacallado, Qingyuan Zhao, Nianqiao Ju (2020). Letter to the editor: Generation interval for COVID-19 based on symptom onset data. Eurosurveillance.

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Daniel Iong, Qingyuan Zhao, Yang Chen (2020). A latent mixture model for heterogeneous causal mechanisms in Mendelian randomization.

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Jingshu Wang, Qingyuan Zhao, Jack Bowden, Gibran Hemani, George Davey Smith, Dylan Small, Nancy Zhang (2020). Causal inference for heritable phenotypic risk factors using heterogeneous genetic instruments.. PLOS Genetics (2021).

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