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 (in press)
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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

Qingyuan Zhao (2021). Small Data, Big Time—A retrospect of the first weeks of COVID-19.

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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.

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.

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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..

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Qingyuan Zhao, Phyllis Ju, Sergio Bacallado, Rajen Shah (2020). BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic. Annals of Applied Statistics (in press).

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